Internet DRAFT - draft-arkko-farrell-arch-model-t
draft-arkko-farrell-arch-model-t
Network Working Group J. Arkko
Internet-Draft Ericsson
Intended status: Informational S. Farrell
Expires: January 15, 2021 Trinity College Dublin
July 14, 2020
Challenges and Changes in the Internet Threat Model
draft-arkko-farrell-arch-model-t-04
Abstract
Communications security has been at the center of many security
improvements in the Internet. The goal has been to ensure that
communications are protected against outside observers and attackers.
This memo suggests that the existing RFC 3552 threat model, while
important and still valid, is no longer alone sufficient to cater for
the pressing security and privacy issues seen on the Internet today.
For instance, it is often also necessary to protect against endpoints
that are compromised, malicious, or whose interests simply do not
align with the interests of users. While such protection is
difficult, there are some measures that can be taken and we argue
that investigation of these issues is warranted.
It is particularly important to ensure that as we continue to develop
Internet technology, non-communications security related threats, and
privacy issues, are properly understood.
Status of This Memo
This Internet-Draft is submitted in full conformance with the
provisions of BCP 78 and BCP 79.
Internet-Drafts are working documents of the Internet Engineering
Task Force (IETF). Note that other groups may also distribute
working documents as Internet-Drafts. The list of current Internet-
Drafts is at https://datatracker.ietf.org/drafts/current/.
Internet-Drafts are draft documents valid for a maximum of six months
and may be updated, replaced, or obsoleted by other documents at any
time. It is inappropriate to use Internet-Drafts as reference
material or to cite them other than as "work in progress."
This Internet-Draft will expire on January 15, 2021.
Arkko & Farrell Expires January 15, 2021 [Page 1]
Internet-Draft Internet Threat Model Evolution July 2020
Copyright Notice
Copyright (c) 2020 IETF Trust and the persons identified as the
document authors. All rights reserved.
This document is subject to BCP 78 and the IETF Trust's Legal
Provisions Relating to IETF Documents
(https://trustee.ietf.org/license-info) in effect on the date of
publication of this document. Please review these documents
carefully, as they describe your rights and restrictions with respect
to this document. Code Components extracted from this document must
include Simplified BSD License text as described in Section 4.e of
the Trust Legal Provisions and are provided without warranty as
described in the Simplified BSD License.
Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
2. Observations . . . . . . . . . . . . . . . . . . . . . . . . 5
2.1. Communications Security Improvements . . . . . . . . . . 5
2.2. Beyond Communications Security . . . . . . . . . . . . . 6
2.3. Examples . . . . . . . . . . . . . . . . . . . . . . . . 9
2.3.1. Deliberate adversarial behaviour in applications . . 9
2.3.2. Inadvertent adversarial behaviours . . . . . . . . . 15
3. Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . 16
3.1. The Role of End-to-end . . . . . . . . . . . . . . . . . 16
3.2. Trusted networks . . . . . . . . . . . . . . . . . . . . 18
3.2.1. Even closed networks can have compromised nodes . . . 19
3.3. Balancing Threats . . . . . . . . . . . . . . . . . . . . 20
3.4. Checklist for Protocol Designers . . . . . . . . . . . . 21
4. Areas requiring more study . . . . . . . . . . . . . . . . . 23
5. Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . 27
6. Security Considerations . . . . . . . . . . . . . . . . . . . 27
7. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 27
8. Informative References . . . . . . . . . . . . . . . . . . . 28
Appendix A. Changes from previous version . . . . . . . . . . . 36
Appendix B. Contributors . . . . . . . . . . . . . . . . . . . . 37
Appendix C. Acknowledgements . . . . . . . . . . . . . . . . . . 37
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 38
1. Introduction
Communications security has been at the center of many security
improvements in the Internet. The goal has been to ensure that
communications are protected against outside observers and attackers.
At the IETF, this approach has been formalized in BCP 72 [RFC3552],
which defined the Internet threat model in 2003.
Arkko & Farrell Expires January 15, 2021 [Page 2]
Internet-Draft Internet Threat Model Evolution July 2020
The purpose of a threat model is to outline what threats exist in
order to assist the protocol designer. But RFC 3552 also ruled some
threats to be in scope and of primary interest, and some threats out
of scope [RFC3552]:
The Internet environment has a fairly well understood threat
model. In general, we assume that the end-systems engaging in a
protocol exchange have not themselves been compromised.
Protecting against an attack when one of the end-systems has been
compromised is extraordinarily difficult. It is, however,
possible to design protocols which minimize the extent of the
damage done under these circumstances.
By contrast, we assume that the attacker has nearly complete
control of the communications channel over which the end-systems
communicate. This means that the attacker can read any PDU
(Protocol Data Unit) on the network and undetectably remove,
change, or inject forged packets onto the wire.
However, the communications-security -only threat model is becoming
outdated. Some of the causes for this are:
o Success! Advances in protecting most of our communications with
strong cryptographic means. This has resulted in much improved
communications security, but also highlights the need for
addressing other, remaining issues. This is not to say that
communications security is not important, it still is:
improvements are still needed. Not all communications have been
protected, and even out of the already protected communications,
not all of their aspects have been fully protected. Fortunately,
there are ongoing projects working on improvements.
o Adversaries have increased their pressure against other avenues of
attack, from supply-channel attacks, to compromising devices to
legal coercion of centralized endpoints in conversations.
o New adversaries and risks have arisen, e.g., due to creation of
large centralized information sources.
o While communications-security does seem to be required to protect
privacy, more is needed, especially if endpoints choose to act
against the interests of their peers or users.
In short, attacks are migrating towards the currently easier targets,
which no longer necessarily include direct attacks on traffic flows.
In addition, trading information about users and ability to influence
them has become a common practice for many Internet services, often
without users understanding those practices.
Arkko & Farrell Expires January 15, 2021 [Page 3]
Internet-Draft Internet Threat Model Evolution July 2020
This memo suggests that the existing threat model, while important
and still valid, is no longer alone sufficient to cater for the
pressing security and privacy issues on the Internet. For instance,
while it continues to be very important to protect Internet
communications against outsiders, it is also necessary to protect
systems against endpoints that are compromised, malicious, or whose
interests simply do not align with the interests of the users.
Of course, there are many trade-offs in the Internet on who one
chooses to interact with and why or how. It is not the role of this
memo to dictate those choices. But it is important that we
understand the implications of different practices. It is also
important that when it comes to basic Internet infrastructure, our
chosen technologies lead to minimal exposure with respect to the non-
communications threats.
It is particularly important to ensure that non-communications
security related threats are properly understood for any new Internet
technology. While the consideration of these issues is relatively
new in the IETF, this memo provides some initial ideas about
potential broader threat models to consider when designing protocols
for the Internet or when trying to defend against pervasive
monitoring. Further down the road, updated threat models could
result in changes in BCP 72 [RFC3552] (guidelines for writing
security considerations) and BCP 188 [RFC7258] (pervasive
monitoring), to include proper consideration of non-communications
security threats.
It may also be necessary to have dedicated guidance on how systems
design and architecture affect security. The sole consideration of
communications security aspects in designing Internet protocols may
lead to accidental or increased impact of security issues elsewhere.
For instance, allowing a participant to unnecessarily collect or
receive information may lead to a similar effect as described in
[RFC8546] for protocols: over time, unnecessary information will get
used with all the associated downsides, regardless of what deployment
expectations there were during protocol design.
This memo does not stand alone. To begin with, it is a merge of
earlier work by the two authors [I-D.farrell-etm]
[I-D.arkko-arch-internet-threat-model]. There are also other
documents discussing this overall space, e.g.
[I-D.lazanski-smart-users-internet] [I-D.arkko-arch-dedr-report].
The authors of this memo envisage independent development of each of
those (and other work) with an eventual goal to extract an updated
(but usefully brief!) description of an extended threat model from
the collection of works. We consider it an open question whether
Arkko & Farrell Expires January 15, 2021 [Page 4]
Internet-Draft Internet Threat Model Evolution July 2020
this memo, or any of the others, would be usefully published as an
RFC.
The rest of this memo is organized as follows. Section 2 makes some
observations about the situation, with respect to communications
security and beyond. The section also provides a number of real-
world examples.
Section 3 discusses some high-level implications that can be drawn,
such as the need to consider what the "ends" really are in an "end-
to-end" communication. A checklist for issues that protocol
designers need to consider is also included.
Section 4 lists some areas where additional work is required.
Possible changes to [RFC3552] are covered in a separate document, see
I-D.arkko-farrell-arch-model-t-3552-additions. Similarly, possible
changes to [RFC7258] are covered in I-D.arkko-farrell-arch-model-
t-7258-additions.
Comments are solicited on these and other aspects of this document.
The best place for discussion is on the model-t list.
(https://www.ietf.org/mailman/listinfo/model-t)
Finally, Section 5 draws some conclusions for next steps.
2. Observations
2.1. Communications Security Improvements
Being able to ask about threat model improvements is due to progress
already made: The fraction of Internet traffic that is
cryptographically protected has grown tremendously in the last few
years. Several factors have contributed to this change, from Snowden
revelations to business reasons and to better available technology
such as HTTP/2 [RFC7540], TLS 1.3 [RFC8446], QUIC
[I-D.ietf-quic-transport].
In many networks, the majority of traffic has flipped from being
cleartext to being encrypted. Reaching the level of (almost) all
traffic being encrypted is no longer something unthinkable but rather
a likely outcome in a few years.
At the same time, technology developments and policy choices have
driven the scope of cryptographic protection from protecting only the
pure payload to protecting much of the rest as well, including far
more header and meta-data information than was protected before. For
instance, efforts are ongoing in the IETF to assist encrypting
Arkko & Farrell Expires January 15, 2021 [Page 5]
Internet-Draft Internet Threat Model Evolution July 2020
transport headers [I-D.ietf-quic-transport], server domain name
information in TLS [I-D.ietf-tls-esni], and domain name queries
[RFC8484].
There have also been improvements to ensure that the security
protocols that are in use actually have suitable credentials and that
those credentials have not been compromised, see, for instance, Let's
Encrypt [RFC8555], HSTS [RFC6797], HPKP [RFC7469], and Expect-CT
[I-D.ietf-httpbis-expect-ct].
This is not to say that all problems in communications security have
been resolved - far from it. But the situation is definitely
different from what it was a few years ago. Remaining issues will be
and are worked on; the fight between defense and attack will also
continue. Communications security will stay at the top of the agenda
in any Internet technology development.
2.2. Beyond Communications Security
There are, however, significant issues beyond communications security
in the Internet. To begin with, it is not necessarily clear that one
can trust all the endpoints in any protocol interaction.
Of course, client endpoint implementations were never fully trusted,
but the environments in which those endpoints exist are changing.
For instance, users may not have as much control over their own
devices as they used to, due to manufacturer-controlled operating
system installations and locked device ecosystems. And within those
ecosystems, even the applications that are available tend to have
privileges that users by themselves might not desire those
applications be granted, such as excessive rights to media, location,
and peripherals. There are also designated efforts by various
authorities to hack end-user devices as a means of intercepting data
about the user.
The situation is different, but not necessarily better on the side of
servers. The pattern of communications in today's Internet is almost
always via a third party that has at least as much information as the
other parties have. For instance, these third parties are typically
endpoints for any transport layer security connections, and able to
see much communications or other messaging in cleartext. There are
some exceptions, of course, e.g., messaging applications with end-to-
end confidentiality protection.
With the growth of trading users' information by many of these third
parties, it becomes necessary to take precautions against endpoints
that are compromised, malicious, or whose interests simply do not
align with the interests of the users.
Arkko & Farrell Expires January 15, 2021 [Page 6]
Internet-Draft Internet Threat Model Evolution July 2020
Specifically, the following issues need attention:
o Security of users' devices and the ability of the user to control
their own equipment.
o Leaks and attacks related to data at rest.
o Coercion of some endpoints to reveal information to authorities or
surveillance organizations, sometimes even in an extra-territorial
fashion.
o Application design patterns that result in cleartext information
passing through a third party or the application owner.
o Involvement of entities that have no direct need for involvement
for the sake of providing the service that the user is after.
o Network and application architectures that result in a lot of
information collected in a (logically) central location.
o Leverage and control points outside the hands of the users or end-
user device owners.
For instance, while e-mail transport security [RFC7817] has become
much more widely deployed in recent years, progress in securing
e-mail messages between users has been much slower. This has lead to
a situation where e-mail content is considered a critical resource by
some mail service providers who use the content for machine learning,
advertisement targeting, and other purposes unrelated to message
delivery. Equally however, it is unclear how some useful anti-spam
techniques could be deployed in an end-to-end encrypted mail universe
(with today's end-to-end mail security protocols) and there are many
significant challenges should one desire to deploy end-to-end email
security at scale.
The Domain Name System (DNS) shows signs of ageing but due to the
legacy of deployed systems has changed very slowly. Newer technology
[RFC8484] developed at the IETF enables DNS queries to be performed
with confidentiality and authentication (of a recursive resolver),
but its initial deployment is happening mostly in browsers that use
global DNS resolver services, such as Cloudflare's 1.1.1.1 or
Google's 8.8.8.8. This results in faster evolution and better
security for end users.
However, if one steps back and considers the potential security and
privacy effects of these developments, the outcome could appear
different. While the security and confidentiality of the protocol
exchanges improves with the introduction of this new technology, at
Arkko & Farrell Expires January 15, 2021 [Page 7]
Internet-Draft Internet Threat Model Evolution July 2020
the same time this could lead to a move from using (what appears to
be) a large worldwide distributed set of DNS resolvers into a far
smaller set of centralised global resolvers. While these resolvers
are very well maintained (and a great service), they are potential
high-value targets for pervasive monitoring and Denial-of-Service
(DoS) attacks. In 2016, for example, DoS attacks were launched
against Dyn, [DynDDoS] then one of the largest DNS providers, leading
to some outages. It is difficult to imagine that DNS resolvers
wouldn't be a target in many future attacks or pervasive monitoring
projects.
Unfortunately, there is little that even large service providers can
do to not be a DDoS target, (though anycast and other DDoS
mitigations can certainly help when one is targeted), nor to refuse
authority-sanctioned pervasive monitoring. As a result it seems that
a reasonable defense strategy may be to aim for outcomes where such
highly centralised control points are unnecessary or don't handle
sensitive data. (Recalling that with the DNS, meta-data about the
requestor and the act of requesting an answer are what is potentially
sensitive, rather than the content of the answer.)
There are other examples of the perils of centralised solutions in
Internet infrastructure. The DNS example involves an interesting
combination of information flows (who is asking for what domain
names) as well as a potential ability to exert control (what domains
will actually resolve to an address). Routing systems are primarily
about control. While there are intra-domain centralized routing
solutions (such as PCE [RFC4655]), a control within a single
administrative domain is usually not the kind of centralization that
we would be worried about. Global centralization would be much more
concerning. Fortunately, global Internet routing is performed among
peers. However, controls could be introduced even in this global,
distributed system. To secure some of the control exchanges, the
Resource Public Key Infrastructure (RPKI) system ([RFC6480]) allows
selected Certification Authorities (CAs) to help drive decisions
about which participants in the routing infrastructure can make what
claims. If this system were globally centralized, it would be a
concern, but again, fortunately, current designs involve at least
regional distribution.
In general, many recent attacks relate more to information than
communications. For instance, personal information leaks typically
happen via information stored on a compromised server rather than
capturing communications. There is little hope that such attacks can
be prevented entirely. Again, the best course of action seems to be
avoid the disclosure of information in the first place, or at least
to not perform that in a manner that makes it possible that others
can readily use the information.
Arkko & Farrell Expires January 15, 2021 [Page 8]
Internet-Draft Internet Threat Model Evolution July 2020
2.3. Examples
2.3.1. Deliberate adversarial behaviour in applications
In this section we describe some documented examples of deliberate
adversarial behaviour by applications that could affect Internet
protocol development. The adversarial behaviours described below
involve various kinds of attack, varying from simple fraud, to
credential theft, surveillance and contributing to DDoS attacks.
This is not intended to be a comprehensive nor complete survey, but
to motivate us to consider deliberate adversarial behaviour by
applications.
While we have these examples of deliberate adversarial behaviour,
there are also many examples of application developers doing their
best to protect the security and privacy of their users or customers.
That's just the same as the case today where we need to consider in-
network actors as potential adversaries despite the many examples of
network operators who do act primarily in the best interests of their
users.
2.3.1.1. Malware in curated application stores
Despite the best efforts of curators, so-called App-Stores frequently
distribute malware of many kinds and one recent study [Curated]
claims that simple obfuscation enables malware to avoid detection by
even sophisticated operators. Given the scale of these deployments,
distribution of even a small percentage of malware-infected
applications can affect a huge number of people.
2.3.1.2. Virtual private networks (VPNs)
Virtual private networks (VPNs) are supposed to hide user traffic to
various degrees depending on the particular technology chosen by the
VPN provider. However, not all VPNs do what they say, some for
example misrepresenting the countries in which they provide vantage
points [Vpns].
2.3.1.3. Compromised (home) networks
What we normally might consider network devices such as home routers
do also run applications that can end up being adversarial, for
example running DNS and DHCP attacks from home routers targeting
other devices in the home. One study [Home] reports on a 2011 attack
that affected 4.5 million DSL modems in Brazil. The absence of
software update [RFC8240] has been a major cause of these issues and
rises to the level that considering this as intentional behaviour by
device vendors who have chosen this path is warranted.
Arkko & Farrell Expires January 15, 2021 [Page 9]
Internet-Draft Internet Threat Model Evolution July 2020
2.3.1.4. Web tracking
One of the biggest threats to user privacy on the Web is ubiquitous
tracking. This is often done to support advertising based business
models.
While some people may be sanguine about this kind of tracking, others
consider this behaviour unwelcome, when or if they are informed that
it happens, [Attitude] though the evidence here seems somewhat harder
to interpret and many studies (that we have found to date) involve
small numbers of users. Historically, browsers have not made this
kind of tracking visible and have enabled it by default, though some
recent browser versions are starting to enable visibility and
blocking of some kinds of tracking. Browsers are also increasingly
imposing more stringent requirements on plug-ins for varied security
reasons.
Third party tracking
One form of tracking is by third parties. HTTP header fields (such
as cookies, [RFC6265]) are commonly used for such tracking, as are
structures within the content of HTTP responses such as links to 1x1
pixel images and (ab)use of Javascript APIs offered by browsers
[Tracking].
Whenever a resource is loaded from a server, that server can include
a cookie which will be sent back to the server on future loads. This
includes situations where the resource is loaded as a resource on a
page, such as an image or a JavaScript module. When loading a
resource, the server is aware of the top-level page that the resource
is used on, through the use of the Referer HTTP header [RFC7231].
those loads include a Referer header which contains the top-level
page from which that subresource is being loaded.
The combination of these features makes it possible to track a user
across the Web. The tracker convinces a number of content sites
("first parties") to include a resource from the tracker site. This
resource can perform some function such as displaying an
advertisement or providing analytics to the first party site. But
the resource may also be simply a tracker. When the user visits one
of the content sites, the tracker receives both a Referer header and
the cookie. For an individual user with a particular browser, the
cookie is the same regardless of which site the tracker is on. This
allows the tracker to observe what pages within the set of content
sites the user visits. The resulting information is commonly used
for targeting advertisements, but it can also be used for other
purposes.
Arkko & Farrell Expires January 15, 2021 [Page 10]
Internet-Draft Internet Threat Model Evolution July 2020
This capability itself constitutes a major threat to user privacy.
Additional techniques such as cookie syncing, identifier correlation,
and fingerprinting make the problem even worse.
As a given tracker will not be on all sites, that tracker has
incomplete coverage. However, trackers often collude (a practice
called "cookie syncing") to combine the information from different
tracking cookies.
Sometimes trackers will be embedded on a site which collects a user
identifier, such as social media identity or an e-mail address. If
the site can inform the tracker of the identifier, that allows the
tracker to tie the identifier to the cookie.
While a browser may block cookies, fingerprinting browsers often
allows tracking the users. For instance, features such as User-Agent
string, plugin and font support, screen resolution, and timezone can
yield a fingerprint that is sometimes unique to a single user
[AmIUnique] and which persists beyond cookie scope and lifetime.
Even in cases where this fingerprint is not unique, the anonymity set
may be sufficiently small that, coupled with other data, this yields
a unique, per-user identifier. Fingerprinting of this type is more
prevalent on systems and platforms where data-set features are
flexible, such as desktops, where plugins are more commonly in use.
Fingerprinting prevention is an active research area; see [Boix2018]
for more information.
Other types of tracking linked to web tracking
Third party web tracking is not the only concern. An obvious
tracking danger exists also in popular ecosystems - such as social
media networks - that house a large part of many users' online
existence. There is no need for a third party to track the user's
browsing as all actions are performed within a single site, where
most messaging, viewing, and sharing activities happen.
Browsers themselves or services used by the browser can also become a
potential source of tracking users. For instance, the URL/search bar
service may leak information about the user's actions to a search
provider via an "autocomplete" feature. [Leith2020]
Tracking through users' IP addresses or DNS queries is also a danger.
This may happen by directly observing the cleartext IP or DNS
traffic, though DNS tracking may be preventable via DNS protocols
that are secured end-to-end. But the DNS queries are also (by
definition) seen by the used DNS recursive resolver service, which
may accidentally or otherwise track the users' activities. This is
particularly problematic if a large number of users employ either a
Arkko & Farrell Expires January 15, 2021 [Page 11]
Internet-Draft Internet Threat Model Evolution July 2020
commonly used ISP service or an Internet-based resolver service
[I-D.arkko-arch-infrastructure-centralisation]. In contrast, use of
a DNS recursive that sees little traffic could equally be used for
tracking. Similarly, other applications, such an mail or instant
messaging protocols, that can carry HTML content can be integrated
with web tracking. (See Section 2.3.1.6.)
2.3.1.5. Web site policy deception
Many web sites today provide some form of privacy policy and terms of
service, that are known to be mostly unread [Unread]. This implies
that, legal fiction aside, users of those sites have not in reality
agreed to the specific terms published and so users are therefore
highly exposed to being exploited by web sites, for example
[Cambridge] is a recent well-publicised case where a service provider
abused the data of 87 million users via a partnership. While many
web site operators claim that they care deeply about privacy, it
seems prudent to assume that some (or most?) do not in fact care
about user privacy, or at least not in ways with which many of their
users would agree. And of course, today's web sites are actually
mostly fairly complex web applications and are no longer static sets
of HTML files, so calling these "web sites" is perhaps a misnomer,
but considered as web applications, that may for example link in
advertising networks, it seems clear that many exist that are
adversarial.
2.3.1.6. Tracking bugs in mail
Some mail user agents (MUAs) render HTML content by default (with a
subset not allowing that to be turned off, perhaps particularly on
mobile devices) and thus enable the same kind of adversarial tracking
seen on the web. Attempts at such intentional tracking are also seen
many times per day by email users - in one study [Mailbug] the
authors estimated that 62% of leakage to third parties was
intentional, for example if leaked data included a hash of the
recipient email address.
2.3.1.7. Troll farms in online social networks
Online social network applications/platforms are well-known to be
vulnerable to troll farms, sometimes with tragic consequences where
organised/paid sets of users deliberately abuse the application
platform for reasons invisible to a normal user. For-profit
companies building online social networks are well aware that subsets
of their "normal" users are anything but. In one US study, [Troll]
sets of troll accounts were roughly equally distributed on both sides
of a controversial discussion. While Internet protocol designers do
sometimes consider sybil attacks [Sybil], arguably we have not
Arkko & Farrell Expires January 15, 2021 [Page 12]
Internet-Draft Internet Threat Model Evolution July 2020
provided mechanisms to handle such attacks sufficiently well,
especially when they occur within walled-gardens. Equally, one can
make the case that some online social networks, at some points in
their evolution, appear to have prioritised counts of active users so
highly that they have failed to invest sufficient effort for
detection of such troll farms.
2.3.1.8. Smart televisions
There have been examples of so-called "smart" televisions spying on
their owners and one survey of user attitudes [SmartTV] found "broad
agreement was that it is unacceptable for the data to be repurposed
or shared" although the level of user understanding may be
questionable. What is clear though is that such devices generally
have not provided controls for their owners that would allow them to
meaningfully make a decision as to whether or not they want to share
such data.
2.3.1.9. Internet of things
Internet of Things (IoT) devices (which might be "so-called Internet
of Things" as all devices were already things:-) have been found
deficient when their security and privacy aspects were analysed, for
example children's toys [Toys]. While in some cases this may be due
to incompetence rather than being deliberately adversarial behaviour,
the levels of incompetence frequently seen imply these aspects have
simply not been considered a priority.
2.3.1.10. Attacks leveraging compromised high-level DNS infrastructure
Recent attacks [DeepDive] against DNS infrastructure enable
subsequent targeted attacks on specific application layer sources or
destinations. The general method appears to be to attack DNS
infrastructure, in these cases infrastructure that is towards the top
of the DNS naming hierarchy and "far" from the presumed targets, in
order to be able to fake DNS responses to a PKI, thereby acquiring
TLS server certificates so as to subsequently attack TLS connections
from clients to services (with clients directed to an attacker-owned
server via additional fake DNS responses).
Attackers in these cases seem well resourced and patient - with
"practice" runs over months and with attack durations being
infrequent and short (e.g. 1 hour) before the attacker withdraws.
These are sophisticated multi-protocol attacks, where weaknesses
related to deployment of one protocol (DNS) bootstrap attacks on
another protocol (e.g. IMAP/TLS), via abuse of a 3rd protocol
(ACME), partly in order to capture user IMAP login credentials, so as
Arkko & Farrell Expires January 15, 2021 [Page 13]
Internet-Draft Internet Threat Model Evolution July 2020
to be able to harvest message store content from a real message
store.
The fact that many mail clients regularly poll their message store
means that a 1-hour attack is quite likely to harvest many cleartext
passwords or crackable password hashes. The real IMAP server in such
a case just sees fewer connections during the "live" attack, and some
additional connections later. Even heavy email users in such cases
that might notice a slight gap in email arrivals, would likely
attribute that to some network or service outage.
In many of these cases the paucity of DNSSEC-signed zones (about 1%
of existing zones) and the fact that many resolvers do not enforce
DNSSEC validation (e.g., in some mobile operating systems) assisted
the attackers.
It is also notable that some of the personnel dealing with these
attacks against infrastructure entites are authors of RFCs and
Internet-drafts. That we haven't provided protocol tools that better
protect against these kinds of attack ought hit "close to home" for
the IETF.
In terms of the overall argument being made here, the PKI and DNS
interactions, and the last step in the "live" attack all involve
interaction with a deliberately adversarial application. Later, use
of acquired login credentials to harvest message store content
involves an adversarial client application. It all cases, a TLS
implementation's PKI and TLS protocol code will see the fake
endpoints as protocol-valid, even if, in the real world, they are
clearly fake. This appears to be a good argument that our current
threat model is lacking in some respect(s), even as applied to our
currently most important security protocol (TLS).
2.3.1.11. BGP hijacking
There is a clear history of BGP hijacking [BgpHijack] being used to
ensure endpoints connect to adversarial applications. As in the
previous example, such hijacks can be used to trick a PKI into
issuing a certificate for a fake entity. Indeed one study
[HijackDet] used the emergence of new web server TLS key pairs during
the event, (detected via Internet-wide scans), as a distinguisher
between one form of deliberate BGP hijacking and inadvertent route
leaks.
Arkko & Farrell Expires January 15, 2021 [Page 14]
Internet-Draft Internet Threat Model Evolution July 2020
2.3.1.12. Anti-virus vendor selling user clickstream data
An anti-virus product vendor was feeding user clickstream data to a
subsidiary that then sold on supposedly "anonymised" but highly
detailed data to unrelated parties. [avleak] After browser makers
had removed that vendor's browser extension from their online stores,
the anti-virus product itself apparently took over data collection
initially only offering users an opt-out, with the result that
apparently few users were even aware of the data collection, never
mind the subsequent clickstream sales. Very shortly after
publication of [avleak], the anti-virus vendor announced they were
closing down the subsidiary.
2.3.2. Inadvertent adversarial behaviours
Not all adversarial behaviour by applications is deliberate, some is
likely due to various levels of carelessness (some quite
understandable, others not) and/or due to erroneous assumptions about
the environments in which those applications (now) run.
We very briefly list some such cases:
o Application abuse for command and control, for example, use of IRC
or apache logs for [CommandAndControl]
o Carelessly leaky data stores [LeakyBuckets], for example, lots of
Amazon S3 leaks showing that careless admins can too easily cause
application server data to become available to adversaries
o Virtualisation exposing secrets, for example, Meltdown and Spectre
[MeltdownAndSpectre] [Kocher2019] [Lipp2018] and other similar
side-channel attacks.
o Compromised badly-maintained web sites, that for example, have led
to massive online [Passwords].
o Supply-chain attacks, for example, the [TargetAttack] or malware
within pre-installed applications on Android phones [Bloatware].
o Breaches of major service providers, that many of us might have
assumed would be sufficiently capable to be the best large-scale
"Identity providers", for example:
* 3 billion accounts: https://www.wired.com/story/yahoo-breach-
three-billion-accounts/
Arkko & Farrell Expires January 15, 2021 [Page 15]
Internet-Draft Internet Threat Model Evolution July 2020
* "up to 600M" account passwords stored in clear:
https://www.pcmag.com/news/367319/facebook-stored-up-to-600m-
user-passwords-in-plain-text
* many millions at risk: https://www.zdnet.com/article/us-telcos-
caught-selling-your-location-data-again-senator-demands-new-
laws/
* 50 million accounts: https://www.cnet.com/news/facebook-breach-
affected-50-million-people/
* 14 million accounts: https://www.zdnet.com/article/millions-
verizon-customer-records-israeli-data/
* "hundreds of thousands" of accounts:
https://www.wsj.com/articles/google-exposed-user-data-feared-
repercussions-of-disclosing-to-public-1539017194
* unknown numbers, some email content exposed:
https://motherboard.vice.com/en_us/article/ywyz3x/hackers-
could-read-your-hotmail-msn-outlook-microsoft-customer-support
o Breaches of smaller service providers: Too many to enumerate,
sadly
3. Analysis
3.1. The Role of End-to-end
[RFC1958] notes that "end-to-end functions can best be realised by
end-to-end protocols":
The basic argument is that, as a first principle, certain required
end-to-end functions can only be performed correctly by the end-
systems themselves. A specific case is that any network, however
carefully designed, will be subject to failures of transmission at
some statistically determined rate. The best way to cope with
this is to accept it, and give responsibility for the integrity of
communication to the end systems. Another specific case is end-
to-end security.
The "end-to-end argument" was originally described by Saltzer et al
[Saltzer]. They said:
The function in question can completely and correctly be
implemented only with the knowledge and help of the application
standing at the endpoints of the communication system. Therefore,
Arkko & Farrell Expires January 15, 2021 [Page 16]
Internet-Draft Internet Threat Model Evolution July 2020
providing that questioned function as a feature of the
communication system itself is not possible.
These functional arguments align with other, practical arguments
about the evolution of the Internet under the end-to-end model. The
endpoints evolve quickly, often with simply having one party change
the necessary software on both ends. Whereas waiting for network
upgrades would involve potentially a large number of parties from
application owners to multiple network operators.
The end-to-end model supports permissionless innovation where new
innovation can flourish in the Internet without excessive wait for
other parties to act.
But the details matter. What is considered an endpoint? What
characteristics of Internet are we trying to optimize? This memo
makes the argument that, for security purposes, there is a
significant distinction between actual endpoints from a user's
interaction perspective (e.g., another user) and from a system
perspective (e.g., a third party relaying a message).
This memo proposes to focus on the distinction between "real ends"
and other endpoints to guide the development of protocols. A
conversation between one "real end" to another "real end" has
necessarily different security needs than a conversation between,
say, one of the "real ends" and a component in a larger system. The
end-to-end argument is used primarily for the design of one protocol.
The security of the system, however, depends on the entire system and
potentially multiple storage, compute, and communication protocol
aspects. All have to work properly together to obtain security.
For instance, a transport connection between two components of a
system is not an end-to-end connection even if it encompasses all the
protocol layers up to the application layer. It is not end-to-end,
if the information or control function it carries actually extends
beyond those components. For instance, just because an e-mail server
can read the contents of an e-mail message does not make it a
legitimate recipient of the e-mail.
This memo also proposes to focus on the "need to know" aspect in
systems. Information should not be disclosed, stored, or routed in
cleartext through parties that do not absolutely need to have that
information.
The proposed argument about real ends is as follows:
Application functions are best realised by the entities directly
serving the users, and when more than one entity is involved, by
Arkko & Farrell Expires January 15, 2021 [Page 17]
Internet-Draft Internet Threat Model Evolution July 2020
end-to-end protocols. The role and authority of any additional
entities necessary to carry out a function should match their part
of the function. No information or control roles should be
provided to these additional entities unless it is required by the
function they provide.
For instance, a particular piece of information may be necessary for
the other real endpoint, such as message contents for another user.
The same piece of information may not be necessary for any additional
parties, unless the information had to do with, say, routing
information for the message to reach the other user. When
information is only needed by the actual other endpoint, it should be
protected and be only relayed to the actual other endpoint. Protocol
design should ensure that the additional parties do not have access
to the information.
Note that it may well be that the easiest design approach is to send
all information to a third party and have majority of actual
functionality reside in that third party. But this is a case of a
clear tradeoff between ease of change by evolving that third party
vs. providing reasonable security against misuse of information.
Note that the above "real ends" argument is not limited to
communication systems. Even an application that does not communicate
with anyone else than its user may be implemented on top of a
distributed system where some information about the user is exposed
to untrusted parties.
The implications of the system security also extend beyond
information and control aspects. For instance, poorly design
component protocols can become DoS vectors which are then used to
attack other parts of the system. Availability is an important
aspect to consider in the analysis along other aspects.
3.2. Trusted networks
Some systems are thought of as being deployed only in a closed
setting, where all the relevant nodes are under direct control of the
network administrators. Technologies developed for such networks
tend to be optimized, at least initially, for these environments, and
may lack security features necessary for different types of
deployments.
It is well known that many such systems evolve over time, grow, and
get used and connected in new ways. For instance, the collaboration
and mergers between organizations, and new services for customers may
change the system or its environment. A system that used to be truly
within an administrative domain may suddenly need to cross network
Arkko & Farrell Expires January 15, 2021 [Page 18]
Internet-Draft Internet Threat Model Evolution July 2020
boundaries or even run over the Internet. As a result, it is also
well known that it is good to ensure that underlying technologies
used in such systems can cope with that evolution, for instance, by
having the necessary security capabilities to operate in different
environments.
In general, the outside vs. inside security model is outdated for
most situations, due to the complex and evolving networks and the
need to support mixture of devices from different sources (e.g., BYOD
networks). Network virtualization also implies that previously clear
notions of local area networks and physical proximity may create an
entirely different reality from what appears from a simple notion of
a local network.
Similarly, even trusted, well-managed parties can be problematic,
even when operating openly in the Internet. Systems that collect
data from a large number of Internet users, or that are used by a
large number of devices have some inherent issues: large data stores
attract attempts to use that data in a manner that is not consistent
with the users' interests. They can also become single points of
failure through network management, software, or business failures.
See also [I-D.arkko-arch-infrastructure-centralisation].
3.2.1. Even closed networks can have compromised nodes
This memo argues that the situation is even more dire than what was
explained above. It is impossible to ensure that all components in a
network are actually trusted. Even in a closed network with
carefully managed components there may be compromised components, and
this should be factored into the design of the system and protocols
used in the system.
For instance, during the Snowden revelations it was reported that
internal communication flows of large content providers were
compromised in an effort to acquire information from large numbers of
end users. This shows the need to protect not just communications
targeted to go over the Internet, but in many cases also internal and
control communications.
Furthermore, there is a danger of compromised nodes, so
communications security alone will be insufficient to protect against
this. The defences against this include limiting information within
networks to the parties that have a need to know, as well as limiting
control capabilities. This is necessary even when all the nodes are
under the control of the same network manager; the network manager
needs to assume that some nodes and communications will be
compromised, and build a system to mitigate or minimise attacks even
under that assumption.
Arkko & Farrell Expires January 15, 2021 [Page 19]
Internet-Draft Internet Threat Model Evolution July 2020
Even airgapped networks can have these issues, as evidenced, for
instance, by the Stuxnet worm. The Internet is not the only form of
connectivity, as most systems include, for instance, USB ports that
proved to be the achilles heel of the targets in the Stuxnet case.
More commonly, every system runs large amount of software, and it is
often not practical or even possible to prevent compromised code even
in a high-security setting, let alone in commercial or private
networks. Installation media, physical ports, both open source and
proprietary programs, firmware, or even innocent-looking components
on a circuit board can be suspect. In addition, complex underlying
computing platforms, such as modern CPUs with underlying security and
management tools are prone to problems.
In general, this means that one cannot entirely trust even a closed
system where you picked all the components yourself. Analysis for
the security of many interesting real-world systems now commonly
needs to include cross-component attacks, e.g., the use of car radios
and other externally communicating devices as part of attacks
launched against the control components such as brakes in a car
[Savage].
3.3. Balancing Threats
Note that not all information needs to be protected, and not all
threats can be protected against. But it is important that the main
threats are understood and protected against. Nothing is this
document should be taken as a blanket reason to provide no
information to anyone, or (impractically) insist on encrypting
everything, or other extreme measures. But designers should be
informed about the trade-offs they make.
Sometimes there are higher-level mechanisms that provide safeguards
for failures. For instance, it is very difficult in general to
protect against denial-of-service against compromised nodes on a
communications path. However, it may be possible to detect that a
service has failed.
Another example is from packet-carrying networks. Payload traffic
that has been properly protected with encryption does not provide
much value to an attacker. For instance, it does not always make
sense to encrypt every packet transmission in a packet-carrying
system where the traffic is already encrypted at other layers. But
it almost always makes sense to protect control communications and to
understand the impacts of compromised nodes, particularly control
nodes.
Arkko & Farrell Expires January 15, 2021 [Page 20]
Internet-Draft Internet Threat Model Evolution July 2020
3.4. Checklist for Protocol Designers
The following topics are thought to be generally important for
protocol designers to take into account:
1. Consider first principles in protecting information and systems,
rather than following a specific pattern such as protecting
information in a particular way or only at a particular protocol
layer. It is necessary to understand what assets there are, what
components can be compromised, where interests may or may not be
aligned, and what parties have a legitimate role in being a party
to a specific information or a control task.
2. Once you have an asset, do not pass it onto others without
serious consideration. In other words, minimize information
passed to others to guard against the potential compromise of
that party. As recommended in [RFC6973] data minimisation and
additional encryption can be helpful - if applications don't ever
see data, or a cleartext form of data, then they should have a
harder time misbehaving. Similarly, not defining new long-term
identifiers, and not exposing existing ones, help in minimising
risk.
3. Consider avoiding centralized resources. While centralized
components, resources, and functions are often simplest
deployment models, there can be issues associated with them, for
example meta-data leakage. Consider also how you depend on
infrastructure, such as DNS or BGP, and analyse potential
outcomes in the event that the relevant infrastructure has been
compromised (see, e.g., [DeepDive]). Similarly, minimize passing
of control functions to others. Designers should balance the
benefits of centralized resources or control points against the
threats arising. If it is not possible to avoid, find a way to
allow the centralized resources to be selectable, depending on
context and user settings. As [RFC3935] says: " We embrace
technical concepts such as decentralized control, edge-user
empowerment and sharing of resources, because those concepts
resonate with the core values of the IETF community."
4. Consider treating parties with which your protocol endpoints
interact with suspicion, even if the communications are
encrypted. Other endpoints may misuse any information or control
opportunity in the communication. Similarly, even endpoints
within your own system need to be treated with suspicion, as some
may become compromised. For instance, consider performing end-
to-end protection via other parties: Information passed via
another party who does not intrinsically need the information to
perform its function should be protected end-to-end to its
Arkko & Farrell Expires January 15, 2021 [Page 21]
Internet-Draft Internet Threat Model Evolution July 2020
intended recipient. This holds equally for sending TCP/IP
packets, TLS connections, or application-layer interactions. As
[RFC8546] notes, it is a useful design rule to avoid "accidental
invariance" (the deployment of on-path devices that over-time
start to make assumptions about protocols). However, it is also
a necessary security design rule to avoid "accidental disclosure"
where information originally thought to be benign and untapped
over-time becomes a significant information leak. This guideline
can also be applied for different aspects of security, e.g.,
confidentiality and integrity protection, depending on what the
specific need for information is in the other parties. Of
course, depending on the situation end-to-end protection may have
key management implications; this may not be possible in all
situations.
5. Consider abuse-cases. Protocol developers are typically most
interested in a few specific use-cases for which they need
solutions. Expanding the threat model to consider adversarial
behaviours [AbuseCases] calls for significant attention to be
paid to potential abuses of whatever new or re-purposed
technology is being considered.
6. Consider recovery from compromise or attack during protocol
design - all widely used protocols will at some time be subject
to successful attack, whether that is due to deployment or
implementation error, or, less commonly, due to protocol design
flaws. For example, recent work on multiparty messaging security
primitives [I-D.ietf-mls-architecture] considers "post-compromise
security" as an inherent part of the design of that protocol.
7. Consider linkability. As discussed in [RFC6973] the ability to
link or correlate different protocol messages with one another,
or with external sources of information (e.g. public or private
databases) can create privacy or security issues. As an example,
re-use of TLS session tickets can enable an observer to associate
multiple TLS sessions regardless of changes in source or
destination addressing, which may reduce privacy or help a bad
actor in targeting an attack. The same effects may result
regardless of how protocol exchanges can be linked to one
another. Protocol designs that aim to prevent such linkage may
produce have fewer unexpected or unwanted side-effects when
deployed.
8. Consider the nature of modern protocol implementations. Protocol
endpoints are commonly no longer executed on what used be
understood as a host system. [StackEvo] The web and Javascript
model clearly differs from traditional host models, but so do
many server-side deployments, thanks to virtualisation. At
Arkko & Farrell Expires January 15, 2021 [Page 22]
Internet-Draft Internet Threat Model Evolution July 2020
protocol design time assume that all endpoints will be run in
virtualised environments where co-tenants and (sometimes)
hypervisors are adversaries, and then analyse such scenarios.
4. Areas requiring more study
There may be value in further study on the topics below, with the
goal of producing new tools to counter attacks and provide additional
guidance for protocol designers.
1. Update the BCP for threat models and security considerations It
may be time for the IETF to extend [RFC3552] to cover additional
issues. See also I-D.arkko-farrell-arch-model-t-3552-additions.
2. Update the BCP about pervasive monitoring It may be time for the
IETF to extend [RFC7258] to cover additional issues. See also
I-D.arkko-farrell-arch-model-t-7258-additions.
3. Develop a BCP for privacy considerations: It may be time for the
IETF to develop a BCP for privacy considerations, possibly
starting from [RFC6973].
4. Isolation: Sophisticated users can sometimes deal with
adversarial behaviours in applications by using different
instances of those applications, for example, differently
configured web browsers for use in different contexts.
Applications (including web browsers) and operating systems are
also building in isolation via use of different processes or
sandboxing. Protocol artefacts that relate to uses of such
isolation mechanisms might be worth considering. To an extent,
the IETF has in practice already recognised some of these issues
as being in-scope, e.g. when considering the linkability issues
with mechanisms such as TLS session tickets, or QUIC connection
identifiers.
5. Controlling Tracking: Web browsers have a central role in terms
of the deployment of anti-tracking technologies. A number of
browsers have started adding these technologies [Mozilla2019]
but this is a rapidly moving field, so is difficult to fully
characterize in this memo. The mechanisms used can be as simple
as blocking communication with known trackers, or more complex,
such identifying trackers and suppressing their ability to store
and access cookies and other state. Browsers may also treat
each third party load on different first party sites as a
different context, thereby isolating cookies and other state,
such as TLS layer information (this technique is called "Double
Keying" [DoubleKey]). The further development of browser-based
anti-tracking technology is important, but it is also important
Arkko & Farrell Expires January 15, 2021 [Page 23]
Internet-Draft Internet Threat Model Evolution July 2020
to ensure that browsers themselves do not themselves enable new
data collection points, e.g., via search, DNS, or other
functions.
6. Transparency: Certificate transparency (CT) [RFC6962] has been
an effective countermeasure for X.509 certificate mis-issuance,
which used be a known application layer misbehaviour in the
public web PKI. CT can also help with post-facto detection of
some infrastructure attacks where BGP or DNS weaknesses have
been leveraged so that some certification authority is tricked
into issuing a certificate for the wrong entity. While the
context in which CT operates is very constrained (essentially to
the public CAs trusted by web browsers), similar approaches
could perhaps be useful for other protocols or technologies. In
addition, legislative requirements such as those imposed by the
GDPR [GDPRAccess] could lead to a desire to handle internal data
structures and databases in ways that are reminiscent of CT,
though clearly with significant authorisation being required and
without the append-only nature of a CT log.
7. Same-Origin Policy: The Same-Origin Policy (SOP) [RFC6454]
perhaps already provides an example of how going beyond the RFC
3552 threat model can be useful. Arguably, the existence of the
SOP demonstrates that at least web browsers already consider the
3552 model as being too limited. (Clearly, differentiating
between same and not-same origins implicitly assumes that some
origins are not as trustworthy as others.)
8. Greasing: The TLS protocol [RFC8446] now supports the use of
GREASE [I-D.ietf-tls-grease] as a way to mitigate on-path
ossification. While this technique is not likely to prevent any
deliberate misbehaviours, it may provide a proof-of-concept that
network protocol mechanisms can have impact in this space, if we
spend the time to try analyse the incentives of the various
parties.
9. Generalise OAuth Threat Model: The OAuth threat model [RFC6819]
provides an extensive list of threats and security
considerations for those implementing and deploying OAuth
version 2.0 [RFC6749]. It could be useful to attempt to derive
a more abstract threat model from that RFC that considers
threats in more generic multi-party contexts. That document is
perhaps too detailed to serve as useful generic guidance but
does go beyond the Internet threat model from RFC3552, for
example it says:
two of the three parties involved in the OAuth protocol may
collude to mount an attack against the 3rd party. For
Arkko & Farrell Expires January 15, 2021 [Page 24]
Internet-Draft Internet Threat Model Evolution July 2020
example, the client and authorization server may be under
control of an attacker and collude to trick a user to gain
access to resources.
10. Look again at how well we're securing infrastructure: Some
attacks (e.g. against DNS or routing infrastructure) appear to
benefit from current infrastructure mechanisms not being
deployed, e.g. DNSSEC, RPKI. In the case of DNSSEC, deployment
is still minimal despite much time having elapsed. This
suggests a number of different possible avenues for
investigation:
* For any protocol dependent on infrastructure like DNS or BGP,
we ought analyse potential outcomes in the event the relevant
infrastructure has been compromised
* Protocol designers perhaps ought consider post-facto
detection compromise mechanisms in the event that it is
infeasible to mitigate attacks on infrastructure that is not
under local control
* Despite the sunk costs, it may be worth re-considering
infrastructure security mechanisms that have not been
deployed, and hence are ineffective.
11. Trusted Computing: Various trusted computing mechanisms allow
placing some additional trust on a particular endpoint. This
can be useful to address some of the issues in this memo:
* A network manager of a set of devices may be assured that the
devices have not been compromised.
* An outside party may be assured that someone who runs a
device employs a particular software installation in that
device, and that the software runs in a protected
environment.
IETF work such as TEEP [I-D.ietf-teep-architecture]
[I-D.ietf-teep-protocol] and RATS [I-D.ietf-rats-eat] may be
helpful in providing attestations to other nodes about a
particular endpoint, or lifecycle management of such endpoints.
One should note, however, that it is often not possible to fully
protect endpoints (see, e.g., [Kocher2019] [Lipp2018]
[I-D.taddei-smart-cless-introduction]
[I-D.mcfadden-smart-endpoint-taxonomy-for-cless]). And of
course, a trusted computing may be set up and controlled by a
party that itself is not trusted; a client that contacts a
Arkko & Farrell Expires January 15, 2021 [Page 25]
Internet-Draft Internet Threat Model Evolution July 2020
server that the server's owner runs in a trusted computing
setting does not change the fact that the client and the
server's owner may have different interests. As a result, there
is a need to prepare for the possibility that another party in a
communication is not entirely trusted.
12. Trust Boundaries: Traditional forms of communication equipment
have morphed into today's virtualized environments, where new
trust boundaries exist, e.g., between different virtualisation
layers. And an application might consider itself trusted while
not entirely trusting the underlying operating system. A
browser application wants to protect itself against Javascript
loaded from a website, while the website considers itself and
the Javascript an application that it wants to protect from the
browser. In general, there are multiple parties even in a
single device, with differing interests, including some that
have (or claim to) the interest of the human user in mind.
13. Re-consider protocol design "lore": It could be that this
discussion demonstrates that it is timely to reconsider some
protocol design "lore" as for example is done in
[I-D.iab-protocol-maintenance]. More specifically, protocol
extensibility mechanisms may inadvertently create vectors for
abuse-cases, given that designers cannot fully analyse their
impact at the time a new protocol is defined or standardised.
One might conclude that a lack of extensibility could be a
virtue for some new protocols, in contrast to earlier
assumptions. As pointed out by one commenter though, people can
find ways to extend things regardless, if they feel the need.
14. Consider the potentially different defences against commercial
data collection and surveillance. There are similarities in
these activities. Tracking for commercial information
collection may also have an indirect impact on making accidental
data leaks or surveillance more feasible, given the data that
exists about users. However, the defences are likely still
different, given that the defending and attacking parties are
different.
15. Consider the user perspective: [I-D.nottingham-for-the-users]
argues that, in relevant cases where there are conflicting
requirements, the "IETF considers end users as its highest
priority concern." Doing so seems consistent with the expanded
threat model being argued for here, so may indicate that a BCP
in that space could also be useful.
16. Explicit agreements: When users and their devices provide
information to network entities, it would perhaps be beneficial
Arkko & Farrell Expires January 15, 2021 [Page 26]
Internet-Draft Internet Threat Model Evolution July 2020
to have an opportunity for the users to state their requirements
regarding the use of the information provided in this way.
While the actual use of such requirements and the willingness of
network entities to agree to them remains to be seen, at the
moment even the technical means of doing this are limited. For
instance, it would be beneficial to be able to embed usage
requirements within popular data formats.
As appropriate, users could be made aware of the choices and
policies offered.
5. Conclusions
There are few hard rules in dealing with the evolving threats
discussed in this document. However, we believe that Internet
technology developers need to be aware of the issues beyond
communications security, and consider them in design. At the IETF it
would be beneficial to include some of these considerations in the
usual systematic security analysis of technologies under development.
In particular, when the IETF develops infrastructure technology for
the Internet (such as routing or naming systems), considering the
impacts of data generated by those technologies is important.
Minimising data collection from users, minimising the parties who get
exposed to user data, and protecting data that is relayed or stored
in systems should be a priority.
A key focus area at the IETF has been the security of transport
protocols, and how transport layer security can be best used to
provide the right security for various applications. However, more
work is needed in equivalently broadly deployed tools for minimising
or obfuscating information provided by users to other entities, and
the use of end-to-end security through entities that are involved in
the protocol exchange but who do not need to know everything that is
being passed through them.
6. Security Considerations
The entire memo covers the security considerations.
7. IANA Considerations
There are no IANA considerations in this work.
Arkko & Farrell Expires January 15, 2021 [Page 27]
Internet-Draft Internet Threat Model Evolution July 2020
8. Informative References
[AbuseCases]
McDermott, J. and C. Fox, "Using abuse case models for
security requirements analysis", IEEE Annual Computer
Security Applications Conference (ACSAC'99),
https://www.acsac.org/1999/papers/wed-b-1030-john.pdf ,
1999.
[AmIUnique]
INRIA, ., "Am I Unique?", https://amiunique.org , 2020.
[Attitude]
"User Perceptions of Sharing, Advertising, and Tracking",
Symposium on Usable Privacy and Security (SOUPS),
https://www.usenix.org/conference/soups2015/proceedings/
presentation/chanchary , 2015.
[avleak] Cox, J., "Leaked Documents Expose the Secretive Market for
Your Web Browsing Data",
https://www.vice.com/en_us/article/qjdkq7/
avast-antivirus-sells-user-browsing-data-investigation ,
2020.
[BgpHijack]
Sermpezis, P., Kotronis, V., Dainotti, A., and X.
Dimitropoulos, "A survey among network operators on BGP
prefix hijacking", ACM SIGCOMM Computer Communication
Review 48, no. 1 (2018): 64-69,
https://arxiv.org/pdf/1801.02918.pdf , 2018.
[Bloatware]
Gamba, G., Rashed, M., Razaghpanah, A., Tapiado, J., and
N. Vallina, "An Analysis of Pre-installed Android
Software", arXiv preprint arXiv:1905.02713 (2019) , 2019.
[Boix2018]
Gomez-Boix, A., Laperdrix, P., and B. Baudry, "Hiding in
the crowd: an analysis of the effectiveness of browser
fingerprinting at large scale", Proceedings of the 2018
world wide web conference , 2018.
[Cambridge]
Isaak, J. and M. Hanna, "User Data Privacy: Facebook,
Cambridge Analytica, and Privacy Protection", Computer
51.8 (2018): 56-59, https://ieeexplore.ieee.org/stamp/
stamp.jsp?arnumber=8436400 , 2018.
Arkko & Farrell Expires January 15, 2021 [Page 28]
Internet-Draft Internet Threat Model Evolution July 2020
[CommandAndControl]
Botnet, ., "Creating botnet C&C server. What architecture
should I use? IRC? HTTP?", Stackexchange.com question,
https://security.stackexchange.com/questions/100577/
creating-botnet-cc-server-what-architecture-should-i-use-
irc-http , 2014.
[Curated] Hammad, M., Garcia, J., and S. MaleK, "A large-scale
empirical study on the effects of code obfuscations on
Android apps and anti-malware products", ACM International
Conference on Software Engineering 2018,
https://www.ics.uci.edu/~seal/
publications/2018ICSE_Hammad.pdf , 2018.
[DeepDive]
Krebs on Security, ., "A Deep Dive on the Recent
Widespread DNS Hijacking Attacks", krebsonsecurity.com
blog, https://krebsonsecurity.com/2019/02/a-deep-dive-on-
the-recent-widespread-dns-hijacking-attacks/ , 2019.
[DoubleKey]
Witte, D., "Thirdparty",
https://wiki.mozilla.org/Thirdparty , June 2010.
[DynDDoS] York, K., "Dyn's Statement on the 10/21/2016 DNS DDoS
Attack", Company statement: https://dyn.com/blog/
dyn-statement-on-10212016-ddos-attack/ , 2016.
[GDPRAccess]
EU, ., "Right of access by the data subject", Article 15,
GDPR, https://gdpr-info.eu/art-15-gdpr/ , n.d..
[HijackDet]
Schlamp, J., Holz, R., Gasser, O., Korste, A., Jacquemart,
Q., Carle, G., and E. Biersack, "Investigating the nature
of routing anomalies: Closing in on subprefix hijacking
attacks", International Workshop on Traffic Monitoring and
Analysis, pp. 173-187. Springer, Cham,
https://www.net.in.tum.de/fileadmin/bibtex/publications/
papers/schlamp_TMA_1_2015.pdf , 2015.
[Home] Nthala, N. and I. Flechais, "Rethinking home network
security", European Workshop on Usable Security
(EuroUSEC), https://ora.ox.ac.uk/objects/
uuid:e2460f50-579b-451b-b14e-b7be2decc3e1/download_file?sa
fe_filename=bare_conf_EuroUSEC2018.pdf&file_format=applica
tion%2Fpdf&type_of_work=Conference+item , 2018.
Arkko & Farrell Expires January 15, 2021 [Page 29]
Internet-Draft Internet Threat Model Evolution July 2020
[I-D.arkko-arch-dedr-report]
Arkko, J. and T. Hardie, "Report from the IAB workshop on
Design Expectations vs. Deployment Reality in Protocol
Development", draft-arkko-arch-dedr-report-00 (work in
progress), November 2019.
[I-D.arkko-arch-infrastructure-centralisation]
Arkko, J., "Centralised Architectures in Internet
Infrastructure", draft-arkko-arch-infrastructure-
centralisation-00 (work in progress), November 2019.
[I-D.arkko-arch-internet-threat-model]
Arkko, J., "Changes in the Internet Threat Model", draft-
arkko-arch-internet-threat-model-01 (work in progress),
July 2019.
[I-D.farrell-etm]
Farrell, S., "We're gonna need a bigger threat model",
draft-farrell-etm-03 (work in progress), July 2019.
[I-D.iab-protocol-maintenance]
Thomson, M., "The Harmful Consequences of the Robustness
Principle", draft-iab-protocol-maintenance-04 (work in
progress), November 2019.
[I-D.ietf-httpbis-expect-ct]
estark@google.com, e., "Expect-CT Extension for HTTP",
draft-ietf-httpbis-expect-ct-08 (work in progress),
December 2018.
[I-D.ietf-mls-architecture]
Omara, E., Beurdouche, B., Rescorla, E., Inguva, S., Kwon,
A., and A. Duric, "The Messaging Layer Security (MLS)
Architecture", draft-ietf-mls-architecture-04 (work in
progress), January 2020.
[I-D.ietf-quic-transport]
Iyengar, J. and M. Thomson, "QUIC: A UDP-Based Multiplexed
and Secure Transport", draft-ietf-quic-transport-29 (work
in progress), June 2020.
[I-D.ietf-rats-eat]
Mandyam, G., Lundblade, L., Ballesteros, M., and J.
O'Donoghue, "The Entity Attestation Token (EAT)", draft-
ietf-rats-eat-03 (work in progress), February 2020.
Arkko & Farrell Expires January 15, 2021 [Page 30]
Internet-Draft Internet Threat Model Evolution July 2020
[I-D.ietf-teep-architecture]
Pei, M., Tschofenig, H., Thaler, D., and D. Wheeler,
"Trusted Execution Environment Provisioning (TEEP)
Architecture", draft-ietf-teep-architecture-11 (work in
progress), July 2020.
[I-D.ietf-teep-protocol]
Tschofenig, H., Pei, M., Wheeler, D., Thaler, D., and A.
Tsukamoto, "Trusted Execution Environment Provisioning
(TEEP) Protocol", draft-ietf-teep-protocol-02 (work in
progress), April 2020.
[I-D.ietf-tls-esni]
Rescorla, E., Oku, K., Sullivan, N., and C. Wood, "TLS
Encrypted Client Hello", draft-ietf-tls-esni-07 (work in
progress), June 2020.
[I-D.ietf-tls-grease]
Benjamin, D., "Applying GREASE to TLS Extensibility",
draft-ietf-tls-grease-04 (work in progress), August 2019.
[I-D.lazanski-smart-users-internet]
Lazanski, D., "An Internet for Users Again", draft-
lazanski-smart-users-internet-00 (work in progress), July
2019.
[I-D.mcfadden-smart-endpoint-taxonomy-for-cless]
McFadden, M., "Endpoint Taxonomy for CLESS", draft-
mcfadden-smart-endpoint-taxonomy-for-cless-02 (work in
progress), July 2020.
[I-D.nottingham-for-the-users]
Nottingham, M., "The Internet is for End Users", draft-
nottingham-for-the-users-09 (work in progress), July 2019.
[I-D.taddei-smart-cless-introduction]
Taddei, A., Wueest, C., Roundy, K., and D. Lazanski,
"Capabilities and Limitations of an Endpoint-only Security
Solution", draft-taddei-smart-cless-introduction-02 (work
in progress), January 2020.
[I-D.wood-pearg-website-fingerprinting]
Goldberg, I., Wang, T., and C. Wood, "Network-Based
Website Fingerprinting", draft-wood-pearg-website-
fingerprinting-00 (work in progress), November 2019.
Arkko & Farrell Expires January 15, 2021 [Page 31]
Internet-Draft Internet Threat Model Evolution July 2020
[Jager2015]
Jager, T., Schwenk, J., and J. Somorovsky, "On the
Security of TLS 1.3 and QUIC Against Weaknesses in PKCS#1
v1.5 Encryption", Proceedings of ACM CCS 2015, DOI
10.1145/2810103.2813657, https://www.nds.rub.de/media/nds/
veroeffentlichungen/2015/08/21/Tls13QuicAttacks.pdf ,
October 2015.
[Kocher2019]
Kocher, P., Horn, J., Fogh, A., Genkin, D., Gruss, D.,
Haas, W., Hamburg, M., Lipp, M., Mangard, S., Prescher,
T., Schwarz, M., and Y. Yarom, "Spectre Attacks:
Exploiting Speculative Execution", 40th IEEE Symposium on
Security and Privacy (S&P'19) , 2019.
[LeakyBuckets]
Chickowski, E., "Leaky Buckets: 10 Worst Amazon S3
Breaches", Bitdefender blog,
https://businessinsights.bitdefender.com/
worst-amazon-breaches , 2018.
[Leith2020]
Leith, D., "Web Browser Privacy: What Do Browsers Say When
They Phone Home?", In submission,
https://www.scss.tcd.ie/Doug.Leith/pubs/
browser_privacy.pdf , March 2020.
[Lipp2018]
Lipp, M., Schwarz, M., Gruss, D., Prescher, T., Haas, W.,
Fogh, A., Horn, J., Mangard, S., Kocher, P., Genkin, D.,
Yarom, Y., and M. Hamburg, "Meltdown: Reading Kernel
Memory from User Space", 27th USENIX Security Symposium
(USENIX Security 18) , 2018.
[Mailbug] Englehardt, S., Han, J., and A. Narayanan, "I never signed
up for this! Privacy implications of email tracking",
Proceedings on Privacy Enhancing Technologies 2018.1
(2018): 109-126, https://www.degruyter.com/downloadpdf/j/
popets.2018.2018.issue-1/popets-2018-0006/
popets-2018-0006.pdf , 2018.
[MeltdownAndSpectre]
CISA, ., "Meltdown and Spectre Side-Channel Vulnerability
Guidance", Alert (TA18-004A),
https://www.us-cert.gov/ncas/alerts/TA18-004A , 2018.
Arkko & Farrell Expires January 15, 2021 [Page 32]
Internet-Draft Internet Threat Model Evolution July 2020
[Mozilla2019]
Camp, D., "Firefox Now Available with Enhanced Tracking
Protection by Default Plus Updates to Facebook Container,
Firefox Monitor and Lockwise", The Mozilla Blog,
https://blog.mozilla.org/blog/2019/06/04/firefox-now-
available-with-enhanced-tracking-protection-by-default/ ,
June 2019.
[Passwords]
com, haveibeenpwned., "Pwned Passwords", Website
https://haveibeenpwned.com/Passwords , 2019.
[RFC1958] Carpenter, B., Ed., "Architectural Principles of the
Internet", RFC 1958, DOI 10.17487/RFC1958, June 1996,
<https://www.rfc-editor.org/info/rfc1958>.
[RFC3552] Rescorla, E. and B. Korver, "Guidelines for Writing RFC
Text on Security Considerations", BCP 72, RFC 3552,
DOI 10.17487/RFC3552, July 2003,
<https://www.rfc-editor.org/info/rfc3552>.
[RFC3935] Alvestrand, H., "A Mission Statement for the IETF",
BCP 95, RFC 3935, DOI 10.17487/RFC3935, October 2004,
<https://www.rfc-editor.org/info/rfc3935>.
[RFC4655] Farrel, A., Vasseur, J., and J. Ash, "A Path Computation
Element (PCE)-Based Architecture", RFC 4655,
DOI 10.17487/RFC4655, August 2006,
<https://www.rfc-editor.org/info/rfc4655>.
[RFC6265] Barth, A., "HTTP State Management Mechanism", RFC 6265,
DOI 10.17487/RFC6265, April 2011,
<https://www.rfc-editor.org/info/rfc6265>.
[RFC6454] Barth, A., "The Web Origin Concept", RFC 6454,
DOI 10.17487/RFC6454, December 2011,
<https://www.rfc-editor.org/info/rfc6454>.
[RFC6480] Lepinski, M. and S. Kent, "An Infrastructure to Support
Secure Internet Routing", RFC 6480, DOI 10.17487/RFC6480,
February 2012, <https://www.rfc-editor.org/info/rfc6480>.
[RFC6749] Hardt, D., Ed., "The OAuth 2.0 Authorization Framework",
RFC 6749, DOI 10.17487/RFC6749, October 2012,
<https://www.rfc-editor.org/info/rfc6749>.
Arkko & Farrell Expires January 15, 2021 [Page 33]
Internet-Draft Internet Threat Model Evolution July 2020
[RFC6797] Hodges, J., Jackson, C., and A. Barth, "HTTP Strict
Transport Security (HSTS)", RFC 6797,
DOI 10.17487/RFC6797, November 2012,
<https://www.rfc-editor.org/info/rfc6797>.
[RFC6819] Lodderstedt, T., Ed., McGloin, M., and P. Hunt, "OAuth 2.0
Threat Model and Security Considerations", RFC 6819,
DOI 10.17487/RFC6819, January 2013,
<https://www.rfc-editor.org/info/rfc6819>.
[RFC6962] Laurie, B., Langley, A., and E. Kasper, "Certificate
Transparency", RFC 6962, DOI 10.17487/RFC6962, June 2013,
<https://www.rfc-editor.org/info/rfc6962>.
[RFC6973] Cooper, A., Tschofenig, H., Aboba, B., Peterson, J.,
Morris, J., Hansen, M., and R. Smith, "Privacy
Considerations for Internet Protocols", RFC 6973,
DOI 10.17487/RFC6973, July 2013,
<https://www.rfc-editor.org/info/rfc6973>.
[RFC7231] Fielding, R., Ed. and J. Reschke, Ed., "Hypertext Transfer
Protocol (HTTP/1.1): Semantics and Content", RFC 7231,
DOI 10.17487/RFC7231, June 2014,
<https://www.rfc-editor.org/info/rfc7231>.
[RFC7258] Farrell, S. and H. Tschofenig, "Pervasive Monitoring Is an
Attack", BCP 188, RFC 7258, DOI 10.17487/RFC7258, May
2014, <https://www.rfc-editor.org/info/rfc7258>.
[RFC7469] Evans, C., Palmer, C., and R. Sleevi, "Public Key Pinning
Extension for HTTP", RFC 7469, DOI 10.17487/RFC7469, April
2015, <https://www.rfc-editor.org/info/rfc7469>.
[RFC7540] Belshe, M., Peon, R., and M. Thomson, Ed., "Hypertext
Transfer Protocol Version 2 (HTTP/2)", RFC 7540,
DOI 10.17487/RFC7540, May 2015,
<https://www.rfc-editor.org/info/rfc7540>.
[RFC7817] Melnikov, A., "Updated Transport Layer Security (TLS)
Server Identity Check Procedure for Email-Related
Protocols", RFC 7817, DOI 10.17487/RFC7817, March 2016,
<https://www.rfc-editor.org/info/rfc7817>.
[RFC7830] Mayrhofer, A., "The EDNS(0) Padding Option", RFC 7830,
DOI 10.17487/RFC7830, May 2016,
<https://www.rfc-editor.org/info/rfc7830>.
Arkko & Farrell Expires January 15, 2021 [Page 34]
Internet-Draft Internet Threat Model Evolution July 2020
[RFC8240] Tschofenig, H. and S. Farrell, "Report from the Internet
of Things Software Update (IoTSU) Workshop 2016",
RFC 8240, DOI 10.17487/RFC8240, September 2017,
<https://www.rfc-editor.org/info/rfc8240>.
[RFC8446] Rescorla, E., "The Transport Layer Security (TLS) Protocol
Version 1.3", RFC 8446, DOI 10.17487/RFC8446, August 2018,
<https://www.rfc-editor.org/info/rfc8446>.
[RFC8484] Hoffman, P. and P. McManus, "DNS Queries over HTTPS
(DoH)", RFC 8484, DOI 10.17487/RFC8484, October 2018,
<https://www.rfc-editor.org/info/rfc8484>.
[RFC8546] Trammell, B. and M. Kuehlewind, "The Wire Image of a
Network Protocol", RFC 8546, DOI 10.17487/RFC8546, April
2019, <https://www.rfc-editor.org/info/rfc8546>.
[RFC8555] Barnes, R., Hoffman-Andrews, J., McCarney, D., and J.
Kasten, "Automatic Certificate Management Environment
(ACME)", RFC 8555, DOI 10.17487/RFC8555, March 2019,
<https://www.rfc-editor.org/info/rfc8555>.
[Saltzer] Saltzer, J., Reed, D., and D. Clark, "End-To-End Arguments
in System Design", ACM TOCS, Vol 2, Number 4, pp 277-288 ,
November 1984.
[Savage] Savage, S., "Modern Automotive Vulnerabilities: Causes,
Disclosures, and Outcomes", USENIX , 2016.
[SmartTV] Malkin, N., Bernd, J., Johnson, M., and S. Egelman, "What
Can't Data Be Used For? Privacy Expectations about Smart
TVs in the U.S.", European Workshop on Usable Security
(Euro USEC), https://www.ndss-symposium.org/wp-
content/uploads/2018/06/
eurousec2018_16_Malkin_paper.pdf" , 2018.
[StackEvo]
Trammell, B., Thomson, M., Howard, L., and T. Hardie,
"What Is an Endpoint?", Unpublished work,
https://github.com/stackevo/endpoint-draft/blob/master/
draft-trammell-whats-an-endpoint.md , 2017.
[Sybil] Viswanath, B., Post, A., Gummadi, K., and A. Mislove, "An
analysis of social network-based sybil defenses", ACM
SIGCOMM Computer Communication Review 41(4), 363-374,
https://conferences.sigcomm.org/sigcomm/2010/papers/
sigcomm/p363.pdf , 2011.
Arkko & Farrell Expires January 15, 2021 [Page 35]
Internet-Draft Internet Threat Model Evolution July 2020
[TargetAttack]
Osborne, C., "How hackers stole millions of credit card
records from Target", ZDNET,
https://www.zdnet.com/article/how-hackers-stole-millions-
of-credit-card-records-from-target/ , 2014.
[Toys] Chu, G., Apthorpe, N., and N. Feamster, "Security and
Privacy Analyses of Internet of Things Childrens' Toys",
IEEE Internet of Things Journal 6.1 (2019): 978-985,
https://arxiv.org/pdf/1805.02751.pdf , 2019.
[Tracking]
Ermakova, T., Fabian, B., Bender, B., and K. Klimek, "Web
Tracking-A Literature Review on the State of Research",
Proceedings of the 51st Hawaii International Conference on
System Sciences, https://scholarspace.manoa.hawaii.edu/
bitstream/10125/50485/paper0598.pdf , 2018.
[Troll] Stewart, L., Arif, A., and K. Starbird, "Examining trolls
and polarization with a retweet network", ACM Workshop on
Misinformation and Misbehavior Mining on the Web,
https://faculty.washington.edu/kstarbi/
examining-trolls-polarization.pdf , 2018.
[Unread] Obar, J. and A. Oeldorf, "The biggest lie on the
internet{:} Ignoring the privacy policies and terms of
service policies of social networking services",
Information, Communication and Society (2018): 1-20 ,
2018.
[Vpns] Khan, M., DeBlasio, J., Voelker, G., Snoeren, A., Kanich,
C., and N. Vallina, "An empirical analysis of the
commercial VPN ecosystem", ACM Internet Measurement
Conference 2018 (pp. 443-456),
https://eprints.networks.imdea.org/1886/1/
imc18-final198.pdf , 2018.
Appendix A. Changes from previous version
The -04 version of the draft made the following changes:
o Split the RFC 3552 and RFC 7258 changes to separate documents.
o Added a discussion of assets.
o Shortened the guidelines and converted it to a "designer's
checklist" list.
Arkko & Farrell Expires January 15, 2021 [Page 36]
Internet-Draft Internet Threat Model Evolution July 2020
o Moved the end-to-end security via third parties study item to the
checklist, and added a discussion about key management to it.
o Added a discussion of differences between commercial data
collection and surveillance.
o Shortened the conclusions, while avoiding making overly strong
claims.
Appendix B. Contributors
Eric Rescorla and Chris Wood provided much of the text in
Section 2.3.1.4 and item 2 of Section 4.
Appendix C. Acknowledgements
The authors would like to thank the IAB:
Alissa Cooper, Wes Hardaker, Ted Hardie, Christian Huitema, Zhenbin
Li, Erik Nordmark, Mark Nottingham, Melinda Shore, Jeff Tantsura,
Martin Thomson, Brian Trammel, Mirja Kuhlewind, and Colin Perkins.
The authors would also like to thank the participants of the IETF
SAAG meeting where this topic was discussed:
Harald Alvestrand, Roman Danyliw, Daniel Kahn Gilmore, Wes Hardaker,
Bret Jordan, Ben Kaduk, Dominique Lazanski, Eliot Lear, Lawrence
Lundblade, Kathleen Moriarty, Kirsty Paine, Eric Rescorla, Ali
Rezaki, Mohit Sethi, Ben Schwartz, Dave Thaler, Paul Turner, David
Waltemire, and Jeffrey Yaskin.
The authors would also like to thank the participants of the IAB 2019
DEDR workshop:
Tuomas Aura, Vittorio Bertola, Carsten Bormann, Stephane Bortzmeyer,
Alissa Cooper, Hannu Flinck, Carl Gahnberg, Phillip Hallam-Baker, Ted
Hardie, Paul Hoffman, Christian Huitema, Geoff Huston, Konstantinos
Komaitis, Mirja Kuhlewind, Dirk Kutscher, Zhenbin Li, Julien
Maisonneuve, John Mattson, Moritz Muller, Joerg Ott, Lucas Pardue,
Jim Reid, Jan-Frederik Rieckers, Mohit Sethi, Melinda Shore, Jonne
Soininen, Andrew Sullivan, and Brian Trammell.
The authors would also like to thank the participants of the November
2016 meeting at the IETF:
Carsten Bormann, Randy Bush, Tommy C, Roman Danyliw, Ted Hardie,
Christian Huitema, Ben Kaduk, Dirk Kutscher, Dominique Lazanski, Eric
Rescorla, Ali Rezaki, Mohit Sethi, Melinda Shore, Martin Thomson, and
Arkko & Farrell Expires January 15, 2021 [Page 37]
Internet-Draft Internet Threat Model Evolution July 2020
Robin Wilton ... (missing many people... did we have minutes other
than the list of actions?) ...
Thanks for specific comments on this text to: Ronald van der Pol.
Finally, the authors would like to thank numerous other people for
insightful comments and discussions in this space.
Authors' Addresses
Jari Arkko
Ericsson
Valitie 1B
Kauniainen
Finland
Email: jari.arkko@piuha.net
Stephen Farrell
Trinity College Dublin
College Green
Dublin
Ireland
Email: stephen.farrell@cs.tcd.ie
Arkko & Farrell Expires January 15, 2021 [Page 38]
