| Network Working Group | K. Moriarty |
| Internet-Draft | Dell EMC |
| Intended status: Informational | A. Morton |
| Expires: April 13, 2018 | AT&T Labs |
| October 10, 2017 |
Effect of Pervasive Encryption on Operators
draft-mm-wg-effect-encrypt-13
Pervasive Monitoring (PM) attacks on the privacy of Internet users is of serious concern to both the user and the operator communities. RFC7258 discussed the critical need to protect users' privacy when developing IETF specifications and also recognized making networks unmanageable to mitigate PM is not an acceptable outcome, an appropriate balance is needed. This document discusses current security and network management practices that may be impacted by the shift to increased use of encryption to help guide protocol development in support of manageable, secure networks.
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 April 13, 2018.
Copyright (c) 2017 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.
In response to pervasive monitoring revelations and the IETF consensus that Pervasive Monitoring is an Attack [RFC7258], efforts are underway to increase encryption of Internet traffic. Pervasive Monitoring (PM) is of serious concern to users, operators, and application providers. RFC7258 discussed the critical need to protect users' privacy when developing IETF specifications and also recognized that making networks unmanageable to mitigate PM is not an acceptable outcome, but rather that an appropriate balance would emerge over time.
This document discusses practices currently used by network operators to manage, operate, and secure their networks and how those practices may be impacted by a shift to increased use of encryption. It provides network operators' perspectives about the motivations and objectives of those practices as well as effects anticipated by operators as use of encryption increases. It is a summary of concerns of the operational community as they transition to managing networks with less visibility. The document does not endorse the use of the practices described herein. Nor does it aim to provide a comprehensive treatment of the effects of current practices, some of which have been considered controversial from a technical or business perspective or contradictory to previous IETF statements (e.g., [RFC 1958], [RFC 1984], [RFC 2804], [RFC 2775], [RFC 3724], [RFC 7754]).
This document aims to help IETF participants understand network operators' perspectives about the impact of pervasive encryption, both opportunistic and strong end-to-end encryption, on operational practices. The goal is to help inform future protocol development to ensure that operational impact is part of the conversation. Ideally, new methods could be developed to accomplish the goals of current practices despite changes in the extent to which cleartext will be available to network operators. Discussion of current practices and the potential future changes is provided as a prerequisite to potential future cross-industry and cross-layer work to support the ongoing evolution towards a functional Internet with pervasive encryption.
Traditional network management, planning, security operations, and performance optimization have been developed in an Internet where a large majority of data traffic flows without encryption. While unencrypted traffic has made information that aids operations and troubleshooting at all layers accessible, it has also made pervasive monitoring by unseen parties possible. With broad support and increased awareness of the need to consider privacy in all aspects across the Internet, it is important to catalog existing management, operational, and security practices that have depended upon the availability of cleartext to function.
This document includes a sampling of current practices and does not attempt to describe every nuance. Some sections cover technologies used over a broad spectrum of devices and use cases.
Session encryption helps to prevent both passive and active attacks on transport protocols; more on pervasive monitoring can be found in Confidentiality in the Face of Pervasive Surveillance: A Threat Model and Problem Statement [RFC7624]. The Internet Architecture Board (IAB) released a statement advocating for increased use of encryption in November 2014. Perspectives on encryption paradigms have also shifted. One such shift is documented in "Opportunistic Security" (OS) [RFC7435], which suggests that when use of authenticated encryption is not possible, cleartext sessions should be upgraded to unauthenticated session encryption, rather than no encryption. OS encourages upgrading from cleartext, but cannot require or guarantee such upgrades. Once OS is used, it allows for an evolution to authenticated encryption. These efforts are necessary to improve end user's expectation of privacy, making pervasive monitoring cost prohibitive. With OS in use, active attacks are still possible on unauthenticated sessions. OS has been implemented as NULL Authentication with IPsec [RFC7619] and there are a number of infrastructure use cases such as server to server encryption, where this mode is deployed. IPsec with authentication has many useful applications and usage has increased for infrastructure applications such as for virtual private networks between data centers.
Although there is a push for OS, there is also work being done to improve the implementation, development and configuration of TLS and DTLS sessions to prevent active attacks used to monitor or intercept session data. The
(UTA) working group has been publishing documentation to improve the security of TLS and DTLS sessions. They have documented the known attack vectors in [RFC7457] and have documented Best Practices for TLS and DTLS in [RFC7525] and have other documents in the queue.
In addition to encrypted web site access (HTTP over TLS), there are other well-deployed application level transport encryption efforts such as mail transfer agent (MTA)-to-MTA session encryption transport for email (SMTP over TLS) and gateway-to-gateway for instant messaging (Extensible Messaging and Presence Protocol (XMPP) over TLS). Although this does provide protection from transport layer attacks, the servers could be a point of vulnerability if user-to-user encryption is not provided for these messaging protocols. User-to-user content encryption schemes, such as S/MIME and PGP for email and encryption (e.g. Off-the-Record (OTR)) for XMPP are used by those interested to protect their data as it crosses intermediary servers, preventing the vulnerability described by providing an end-to-end solution. User-to-user schemes are under review and additional options will emerge to ease the configuration requirements, making this type of option more accessible to non-technical users interested in protecting their privacy.
Increased use of encryption, either opportunistic or authenticated, at the transport, network or application layer, impacts how networks are operated, managed, and secured. In some cases, new methods to operate, manage, and secure networks will evolve in response. In other cases, currently available capabilities for monitoring or troubleshooting networks could become unavailable. This document lists a collection of functions currently employed by network operators that may be impacted by the shift to increased use of encryption. This draft does not attempt to specify responses or solutions to these impacts, but rather documents the current state.
This document refers to several different forms of service providers, distinguished with adjectives. For example, network service providers (or network operators) provide IP-packet transport primarily, though they may bundle other services with packet transport. Alternatively, application service providers primarily offer systems that participate as an end-point in communications with the application user, and hosting service providers lease computing, storage, and communications systems in datacenters. In practice, many companies perform two or more service provider roles, but may be historically associated with one.
Network Service Providers (SP) for this definition include the backbone Internet Service providers as well as those providing infrastructure at scale for core Internet use (hosted infrastructure and services such as email).
Following the Snowden revelations, application service providers responded by encrypting traffic between their data centers (IPsec) to prevent passive monitoring from taking place unbeknownst to them (Yahoo, Google, etc.). Large mail service providers also began to encrypt session transport (TLS) to hosted mail services. This and other increases in the use of encryption had the immediate effect of helping protect the privacy of users' data, but created a problem for some network management functions. They could no longer gain access to some session streams resulting in actions by several to regain their operational practices that previously depended on cleartext data sessions.
The EFF reported [EFF2014] several network service providers taking steps to prevent the use of SMTP over TLS by breaking STARTTLS (section 3.2 of [RFC7525]), essentially preventing the negotiation process resulting in fallback to the use of clear text. In other cases, some service providers have relied on middle boxes having access to clear text for the purposes of load balancing, monitoring for attack traffic, meeting regulatory requirements, or for other purposes. These middle box implementations, whether performing functions considered legitimate by the IETF or not, have been impacted by increases in encrypted traffic. Only methods keeping with the goal of balancing network management and PM mitigation in [RFC7258] should be considered in solution work resulting from this document.
Network service providers use various techniques to operate, manage, and secure their networks. The following subsections detail the purpose of each technique and which protocol fields are used to accomplish each task. In response to increased encryption of these fields, some network service providers may be tempted to undertake undesirable security practices in order to gain access to the fields in unencrypted data flows. To avoid this situation, ideally new methods could be developed to accomplish the same goals without service providers having the ability to see session data.
Internet traffic surveys are useful in many pursuits, such as input for CAIDA studies [CAIDA], network planning and optimization. Tracking the trends in Internet traffic growth, from earlier peer-to-peer communication to the extensive adoption of unicast video streaming applications, has relied on a view of traffic composition with a particular level of assumed accuracy, based on access to cleartext by those conducting the surveys.
Passive monitoring makes inferences about observed traffic using the maximal information available, and is subject to inaccuracies stemming from incomplete sampling (of packets in a stream) or loss due to monitoring system overload. When encryption conceals more layers in each packet, reliance on pattern inferences and other heuristics grows, and accuracy suffers. For example, the traffic patterns between server and browser are dependent on browser supplier and version, even when the sessions use the same server application (e.g., web e-mail access). It remains to be seen whether more complex inferences can be mastered to produce the same monitoring accuracy.
Network operators use packet captures and protocol-dissecting analyzers when responding to customer problems, to identify the presence of attack traffic, and to identify root causes of the problem such as misconfiguration. The protocol dissection is generally limited to supporting protocols (e.g., DNS, DHCP), network and transport (e.g., IP, TCP), and some higher layer protocols (e.g., RTP, RTCP).
Network operators are often the first ones called upon to investigate application problems (e.g., "my HD video is choppy"). When diagnosing a customer problem, the starting point may be a particular application that isn't working. The ability to identify the problem application's traffic is important and deep packet inspection (DPI) is often used for this purpose; IP address filtering is not useful for applications using CDNs or cloud providers. After identifying the traffic, an operator may analyze the traffic characteristics and routing of the traffic.
For example, by investigating packet loss (from TCP sequence and acknowledgement numbers), round-trip-time (from TCP timestamp options or application-layer transactions, e.g., DNS or HTTP response time), TCP receive-window size, packet corruption (from checksum verification), inefficient fragmentation, or application-layer problems, the operator can narrow the problem to a portion of the network, server overload, client or server misconfiguration, etc. Network operators may also be able to identify the presence of attack traffic as not conforming to the application the user claims to be using.
One way of quickly excluding the network as the bottleneck during troubleshooting is to check whether the speed is limited by the endpoints. For example, the connection speed might instead be limited by suboptimal TCP options, the sender's congestion window, the sender temporarily running out of data to send, the sender waiting for the receiver to send another request, or the receiver closing the receive window. All this information can be derived from the cleartext TCP header.
Packet captures and protocol-dissecting analyzers have been important tools. Automated monitoring has also been used to proactively identify poor network conditions, leading to maintenance and network upgrades before user experience declines. For example, findings of loss and jitter in VoIP traffic can be a predictor of future customer dissatisfaction (supported by metadata from RTP/RTCP protocol )[RFC3550], or increases in DNS response time can generally make interactive web browsing appear sluggish. But to detect such problems, the application or service stream must first be distinguished from others.
When using increased encryption, operators lose a source of data that may be used to debug user issues. Because of this, application server operators using increased encryption should expect to be called upon more frequently to assist with debugging and troubleshooting, and thus may want to consider what tools can be put in the hands of their clients or network operators.
Further, the performance of some services can be more efficiently managed and repaired when information on user transactions is available to the service provider. It may be possible to continue such monitoring activities without clear text access to the application layers of interest, but inaccuracy will increase and efficiency of repair activities will decrease. For example, an application protocol error or failure would be opaque to network troubleshooters when transport encryption is applied, making root cause location more difficult and therefore increasing the time-to-repair. Repair time directly reduces the availability of the service, and most network operators have made availability a key metric in their Service Level Agreements and/or subscription rebates. Also, there may be more cases of user communication failures when the additional encryption processes are introduced (e.g., key management at large scale), leading to more customer service contacts and (at the same time) less information available to network operations repair teams.
In mobile networks, knowledge about TCP's stream transfer progress (by observing ACKs, retransmissions, packet drops, and the Sector Utilization Level etc.) is further used to measure the performance of Network Segments (Sector, eNodeB (eNB) etc.). This information is used as Key Performance Indicators (KPIs) and for the estimation of User/Service Key Quality Indicators at network edges for circuit emulation (CEM) as well as input for mitigation methods. If the make-up of active services per user and per sector are not visible to a server that provides Internet Access Point Names (APN), it cannot perform mitigation functions based on network segment view.
It is important to note that the push for encryption by application providers has been motivated by the application of the described techniques. Some application providers have noted degraded performance and/or user experience when network-based optimization or enhancement of their traffic has occurred, and such cases may result in additional operator troubleshooting, as well.
Fingerprinting is used in traffic analysis and monitoring to identify traffic streams that match certain patterns. This technique is sometimes used with clear text or encrypted sessions. Some Distributed Denial of Service (DDoS) prevention techniques at the network provider level rely on the ability to fingerprint traffic in order to mitigate the effect of this type of attack. Thus, fingerprinting may be an aspect of an attack or part of attack countermeasures.
A common, early trigger for DDoS mitigation includes observing uncharacteristic traffic volumes or sources; congestion; or degradation of a given network or service. One approach to mitigate such an attack involves distinguishing attacker traffic from legitimate user traffic. The ability to examine layers and payloads above transport provides a new range of filtering opportunities at each layer in the clear. If fewer layers are in the clear, this means that there are reduced filtering opportunities available to mitigate attacks. However, fingerprinting is still possible.
Passive monitoring of network traffic can lead to invasion of privacy by external actors at the endpoints of the monitored traffic. Encryption of traffic end-to-end is one method to obfuscate some of the potentially identifying information. Many DoS mitigation systems perform this manner of passive monitoring.
For example, browser fingerprints are comprised of many characteristics, including User Agent, HTTP Accept headers, browser plug-in details, screen size and color details, system fonts and time zone. A monitoring system could easily identify a specific browser, and by correlating other information, identify a specific user.
A standalone load balancer is a function one can take off the shelf, place in front of a pool of servers, configure appropriately, and it will balance the traffic load among servers in the pool. This is a typical setup for load balancers. Standalone load balancers rely on the plainly observable information in the packets they are forwarding and rely on industry-accepted standards in interpreting the plainly observable information. Typically, this is a 5-tuple of the connection. This configuration terminates TLS sessions at the load balancer, making it the end point instead of the server. Standalone load balancers are considered middleboxes, but are an integral part of server infrastructure that scales.
In contrast, an integrated load balancer is developed to be an integral part of the service provided by the server pool behind that load balancer. These load balancers can communicate state with their pool of servers to better route flows to the appropriate servers. They rely on non-standard system-specific information and operational knowledge shared between the load balancer and its servers.
Both standalone and integrated load balancers can be deployed in pools for redundancy and load sharing. For high availability, it is important that when packets belonging to a flow start to arrive at a different load balancer in the load balancer pool, the packets continue to be forwarded to the original server in the server pool. The importance of this requirement increases as the chances of such load balancer change event increases.
Mobile operators deploy integrated load balancers to assist with maintaining connection state as devices migrate. With the proliferation of mobile connected devices, there is an acute need for connection-oriented protocols that maintain connections after a network migration by an endpoint. This connection persistence provides an additional challenge for multi-homed anycast-based services typically employed by large content owners and Content Distribution Networks (CDNs). The challenge is that a migration to a different network in the middle of the connection greatly increases the chances of the packets routed to a different anycast point-of-presence (POP) due to the new network's different connectivity and Internet peering arrangements. The load balancer in the new POP, potentially thousands of miles away, will not have information about the new flow and would not be able to route it back to the original POP.
To help with the endpoint network migration challenges, anycast service operations are likely to employ integrated load balancers that, in cooperation with their pool servers, are able to ensure that client-to-server packets contain some additional identification in plainly-observable parts of the packets (in addition to the 5-tuple). As noted in Section 2 of [RFC7258], careful consideration in protocol design to mitigate PM is important, while ensuring manageability of the network.
Some integrated load balancers have the ability to use additional plainly observable information even for today's protocols that are not network migration tolerant. This additional information allows for improved availability and scaleability of the load balancing operation. For example, BGP reconvergence can cause a flow to switch anycast POPs even without a network change by any endpoint. Additionally, a system that is able to encode the identity of the pool server in plain text information available in each incoming packet is able to provide stateless load balancing. This ability confers great reliability and scaleability advantages even if the flow remains in a single POP, because the load balancing system is not required to keep state of each flow. Even more importantly, there's no requirement to continuously synchronize such state among the pool of load balancers.
Current protocols, such as TCP, allow the development of stateless integrated load balancers by availing such load balancers of additional plain text information in client-to-server packets. In case of TCP, such information can be encoded by having server-generated sequence numbers (that are ACK'd by the client), segment values, lengths of the packet sent, etc.
Mobile operators apply Self Organizing Networks (3GPP SON) for intelligent workflows such as content-aware MLB (Mobility Load Balancing). Where network load balancers have been configured to route according to application-layer semantics, an encrypted payload is effectively invisible. This has resulted in practices of intercepting TLS in front of load balancers to regain that visibility, but at a cost to security and privacy.
In future Network Function Virtualization (NFV) architectures, load balancing functions are likely to be more prevalent (deployed at locations throughout operators' networks), so they would be handling traffic using encrypted tunnels whenever it is present.
Data transfer capacity resources in cellular radio networks tend to be more constrained than in fixed networks. This is a result of variance in radio signal strength as a user moves around a cell, the rapid ingress and egress of connections as users hand off between adjacent cells, and temporary congestion at a cell. Mobile networks alleviate this by queuing traffic according to its required bandwidth and acceptable latency: for example, a user is unlikely to notice a 20ms delay when receiving a simple Web page or email, or an instant message response, but will very likely notice a re-buffering pause in a video playback or a VoIP call de-jitter buffer. Ideally, the scheduler manages the queue so that each user has an acceptable experience as conditions vary, but inferences of the traffic type have been used to make bearer assignments and set scheduler priority.
Deep Packet Inspection (DPI) allows identification of applications based on payload signatures, in contrast to trusting well-known port numbers. Application and transport layer encryption make the traffic type estimation more complex and less accurate, and therefore it may not be effectual to use this information as input for queue management. With the use of WebSockets [RFC6455], for example, many forms of communications (from isochronous/real-time to bulk/elastic file transfer) will take place over HTTP port 80 or port 443, so only the messages and higher-layer data will make application differentiation possible. If the monitoring system sees only "HTTP port 443", it cannot distinguish application streams that would benefit from priority queueing from others that would not.
Mobile networks especially rely on content/application based prioritization of Over-the-Top (OTT) services - each application-type or service has different delay/loss/throughput expectations, and each type of stream will be unknown to an edge device if encrypted; this impedes dynamic-QoS adaptation. An alternate way to achieve encrypted application separation is possible when the User Equipment (UE) requests a dedicated bearer for the specific application stream (known by the UE), using a mechanism such as the one described in Section 6.5 of 3GPP TS 24.301 [TS3GPP]. The UE's request includes the Quality Class Indicator (QCI) appropriate for each application, based on their different delay/loss/throughput expectations. However, UE requests for dedicated bearers and QCI may not be supported at the subscriber's service level, or in all mobile networks.
These effects and potential alternative solutions have been discussed at the accord BoF at IETF95.
For User Plane Congestion Management (3GPP UPCON) – ability to understand content and manage network during congestion. Mitigating techniques such as deferred download, off-peak acceleration, and outbound roamers.
Due to the characteristics of the mobile link, performance-enhancing TCP proxies may perform local retransmission at the mobile edge. In TCP, duplicated ACKs are detected and potentially concealed when the proxy retransmits a segment that was lost on the mobile link without involvement of the far end (see section 2.1.1 of [RFC3135] and section 3.5 of [I-D.dolson-plus-middlebox-benefits]).
This optimization at network edges measurably improves real-time transmission over long delay Internet paths or networks with large capacity-variation (such as mobile/cellular networks).
In general, performance-enhancing proxies have a lower Round-Trip Time (RTT) to the client and therefore determine the responsiveness of flow control. A lower RTT makes the flow control loop more responsive to changing in the mobile network conditions and enables faster adaptation in a delay and capacity varying network due to user mobility.
Further, service-provider-operated proxies are used to reduce the control delay between the sender and a receiver on a mobile network where resources are limited. The RTT determines how quickly an user's attempt to cancel a video is recognized and therefore how quickly the traffic is stopped, thus keeping un-wanted video packets from entering the radio scheduler queue.
An application-type-aware network edge (middlebox) can further control pacing, limit simultaneous HD videos, or prioritize active videos against new videos, etc.
The features and efficiency of some Internet services can be augmented through analysis of user flows and the applications they provide. For example, network caching of popular content at a location close to the requesting user can improve delivery efficiency (both in terms of lower request response times and reduced use of International Internet links when content is remotely located), and authorized parties acting on their behalf use DPI in combination with content distribution networks to determine if they can intervene effectively. Web proxies are widely used [WebCache], and caching is supported by the recent update of "Hypertext Transfer Protocol (HTTP/1.1): Caching" in [RFC7234]. Encryption of packet contents at a given protocol layer usually makes DPI processing of that layer and higher layers impossible. That being said, it should be noted that some content providers prevent caching to control content delivery through the use of encrypted end-to-end sessions. CDNs vary in their deployment options of end-to-end encryption. The business risk is a motivation outside of privacy and pervasive monitoring that are driving end-to-end encryption for these content providers.
Content replication in caches (for example live video, DRM protected content) is used to most efficiently utilize the available limited bandwidth and thereby maximize the user's Quality of Experience (QoE). Especially in mobile networks, duplicating every stream through the transit network increases backhaul cost for live TV. The Enhanced Multimedia Broadcast/Multicast Services (3GPP eMBMS) – trusted edge proxies facilitate delivering same stream to different users, using either unicast or multicast depending on channel conditions to the user.
Alternate approaches such as blind caches [I-D.thomson-http-bc] are being explored to allow caching of encrypted content; however, they still need to intercept the end-to-end transport connection.
In addition to caching, various applications exist to provide data compression in order to conserve the life of the user's mobile data plan and optimize delivery over the mobile link. The compression proxy access can be built into a specific user level application, such as a browser, or it can be available to all applications using a system level application. The primary method is for the mobile application to connect to a centralized server as a proxy, with the data channel between the client application and the server using compression to minimize bandwidth utilization. The effectiveness of such systems depends on the server having access to unencrypted data flows.
Mobile Networks and many ISPs operate under the regulations of their licensing government authority. These regulations include Lawful Intercept, adherence to Codes of Practice on content filtering, and application of court order filters. Such regulations assume network access to provide content filtering and accounting, as discussed below.
There are numerous reasons why service providers might block content: to comply with requests from law enforcement or regulatory authorities, to effectuate parental controls, to enforce content-based billing, or for other reasons, possibly considered inappropriate by some. See RFC7754 for a survey of Internet filtering techniques and motivations. This section is intended to document a selection of current content blocking practices by operators and the effects of encryption on those practices. Content blocking may also happen at endpoints or at the edge of enterprise networks, but those are not addressed in this section.
In a mobile network content filtering usually occurs in the core network. A proxy is installed which analyses the transport metadata of the content users are viewing and either filters content based on a blacklist of sites or based on the user's pre-defined profile (e.g. for age sensitive content). Although filtering can be done by many methods, one commonly used method involves a trigger based on the proxy identifying a DNS lookup of a host name in a URL which appears on a blacklist being used by the operator. The subsequent requests to that domain will be re-routed to a proxy which checks whether the full URL matches a blocked URL on the list, and will return a 404 if a match is found. All other requests should complete. This technique does not work in situations where DNS traffic is encrypted (e.g., by employing [RFC7858] ).
Another form of content filtering is called parental control, where some users are deliberately denied access to age-sensitive content as a feature to the service subscriber. Some sites involve a mixture of universal and age-sensitive content and filtering software. In these cases, more granular (application layer) metadata may be used to analyze and block traffic. Methods that accessed cleartext application-layer metadata no longer work when sessions are encrypted. This type of granular filtering could occur at the endpoint. However, the lack of ability to efficiently manage endpoints as a service reduces providers' ability to offer parental control.
Approved access to a network is a prerequisite to requests for Internet traffic.
However, there are cases (beyond parental control) when a network service provider currently redirects customer requests for content (affecting content accessibility):
Currently, some mobile network service providers redirect the customer using HTTP redirect to a page that explains to those customers the reason for the blockage and the steps to proceed. When the HTTP headers and content are encrypted, this prevents mobile carriers from intercepting the traffic and performing an HTTP redirect. As a result, some mobile carriers block customer's encrypted requests, which is a far less optimal customer experience because the blocking reason must be conveyed by some other means. The customer may need to call customer care to find out the reason, both an inconvenience to the customer and additional overhead to the mobile network service provider.
Further, when the requested service is about to consume the remainder of the user's plan limits, the transmission could be terminated and advance notifications may be sent to the user by their service provider to warn the user ahead of the exhausted plan. If web content is encrypted, the network provider cannot know the data transfer size at request time. Lacking this visibility of the application type and content size, the network would continue the transmission and stop the transfer when the limit was reached. A partial transfer may not be usable by the client wasting both network and user resources, possibly leading to customer complaints. The content provider does not know user's service plans or current usage, and cannot warn the user of plan exhaustion.
In addition, mobile network operator often sell tariffs that allow free-data access to certain sites, known as 'zero rating'. A session to visit such a site incurs no additional cost or data usage to the user. This feature is impacted if encryption hides the details of the content domain from the network.
Application Layer Gateways (ALG) assist applications to set connectivity across Network Address Translators (NAT), Firewalls, and/or Load Balancers for specific applications running across mobile networks. Section 2.9 of [RFC2663] describes the role of ALGs and their interaction with NAT and/or application payloads. ALG are deployed with an aim to improve connectivity. However, it is an IETF Best Common Practice recommendation that ALGs for UDP-based protocols SHOULD be turned off [RFC4787].
One example of an ALG in current use is aimed at video applications that use the Real Time Session Protocol (RTSP) [RFC7826] primary stream as a means to identify related Real Time Protocol/Real Time Control Protocol (RTP/RTCP) [RFC3550] flows at set-up. The ALG in this case relies on the 5-tuple flow information derived from RTSP to provision NAT or other middle boxes and provide connectivity. Implementations vary, and two examples follow:
When RTSP stream content is encrypted, the 5-tuple information within the payload is not visible to these ALG implementations, and therefore they cannot provision their associated middelboxes with that information.
Some mobile carriers use HTTP header insertion (see section 3.2.1 of [RFC7230]) to provide information about their customers to third parties or to their own internal systems [Enrich]. Third parties use the inserted information for analytics, customization, advertising, to bill the customer, or to selectively allow or block content. HTTP header insertion is also used to pass information internally between a mobile service provider's sub-systems, thus keeping the internal systems loosely coupled. When HTTP connections are encrypted, mobile network service providers cannot insert headers to accomplish the functions above.
Hosted environments have had varied requirements in the past for encryption, with many businesses choosing to use these services primarily for data and applications that are not business or privacy sensitive. A shift prior to the revelations on surveillance/passive monitoring began where businesses were asking for hosted environments to provide higher levels of security so that additional applications and service could be hosted externally. Businesses understanding the threats of monitoring in hosted environments only increased that pressure to provide more secure access and session encryption to protect the management of hosted environments as well as for the data and applications.
Hosted environments may have multiple levels of management access, where some may be strictly for the Hosting SP (infrastructure that may be shared among customers) and some may be accessed by a specific customer for application management. In some cases, there are multiple levels of hosting service providers, further complicating the security of management infrastructure and the associated requirements.
Hosting service provider management access is typically segregated from other traffic with a control channel and may or may not be encrypted depending upon the isolation characteristics of the management session. Customer access may be through a dedicated connection, but discussion for that connection method is out-of-scope for this document.
Application Service Providers may offer content-level monitoring options to detect intellectual property leakage, or other attacks. In service provider environments where Data Loss Prevention (DLP) has been implemented on the basis of the service provider having cleartext access to session streams, the use of encrypted streams prevents these implementations from conducting content searches for the keywords or phrases configured in the DLP system. DLP is often used to prevent the leakage of Personally Identifiable Information (PII) as well as financial account information, Personal Health Information (PHI), and Payment Card Information (PCI). If session encryption is terminated at a gateway prior to accessing these services, DLP on session data can still be performed. The decision of where to terminate encryption to hosted environments will be a risk decision made between the application service provider and customer organization according to their priorities. DLP can be performed at the server for the hosted application and on an end user's system in an organization as alternate or additional monitoring points of content; however, this is not frequently done in a service provider environment.
Application service providers, by their very nature, control the application endpoint. As such, much of the information gleaned from sessions are still available on that endpoint. However, when a gap exists in the application's logging and debugging capabilities, this has led the application service provider to access data-in-transport for monitoring and debugging.
Overlay networks (e.g. VXLAN, Geneve, etc.) may be used to indicate desired isolation, but this is not sufficient to prevent deliberate attacks that are aware of the use of the overlay network. It is possible to use an overlay header in combination with IPsec, but this adds the requirement for authentication infrastructure and may reduce packet transfer performance. Additional extension mechanisms to provide integrity and/or privacy protections are being investigated for overlay encapsulations. Section 7 of [RFC7348] describes some of the security issues possible when deploying VXLAN on Layer 2 networks. Rogue endpoints can join the multicast groups that carry broadcast traffic, for example.
Hosted applications that allow some level of customer management access may also require monitoring by the hosting service provider. Monitoring could include access control restrictions such as authentication, authorization, and accounting for filtering and firewall rules to ensure they are continuously met. Customer access may occur on multiple levels, including user-level and administrative access. The hosting service provider may need to monitor access either through session monitoring or log evaluation to ensure security service level agreements (SLA) for access management are met. The use of session encryption to access hosted environments limits access restrictions to the metadata described below. Monitoring and filtering may occur at an:
Session encryption at the application level, TLS for example, currently allows access to the 5-tuple. IP-level encryption, such as IPsec in tunnel mode prevents access to the original 5-tuple and may limit the ability to restrict traffic via filtering techniques. This shift may not impact all hosting service provider solutions as alternate controls may be used to authenticate sessions or access may require that clients access such services by first connecting to the organization before accessing the hosted application. Shifts in access may be required to maintain equivalent access control management. Logs may also be used for monitoring that access control restrictions are met, but would be limited to the data that could be observed due to encryption at the point of log generation. Log analysis is out of scope for this document.
The following observations apply to any IT organization that is responsible for delivering services, whether to third-parties, for example as a web based service, or to internal customers in an enterprise, e.g. a data processing system that forms a part of the enterprise’s business.
Organizations responsible for the operation of a data center have many processes which access the contents of IP packets (passive methods of measurement, as defined in [RFC7799]). These processes are typically for service assurance or security purposes as part of their data center operations.
Examples include:
Many application service providers simply terminate sessions to/from the Internet at the edge of the data center in the form of SSL/TLS offload in the load balancer. Not only does this reduce the load on application servers, it simplifies the processes to enable monitoring of the session content.
However, in some situations, encryption deeper in the data center may be necessary to protect personal information or in order to meet industry regulations, e.g. those set out by the Payment Card Industry (PCI). In such situations, various methods have been used to allow service assurance and security processes to access unencrypted data. These include SSL/TLS decryption in dedicated units, which then forward packets to SP-controlled tools, or by real-time or post-capture decryption in the tools themselves. The use of tools that perform SSL/TLS decryption are impacted by the increased use of encryption that prevents interception.
Data center operators may also maintain packet recordings in order to be able to investigate attacks, breach of internal processes, etc. In some industries, organizations may be legally required to maintain such information for compliance purposes. Investigations of this nature have used access to the unencrypted contents of the packet. Alternate methods to investigate attacks or breach of process will rely on endpoint information, such as logs. As previously noted, logs often lack complete information, and this is seen as a concern resulting in some relying on session access for additional information.
Organizations are increasingly using hosted applications rather than in-house solutions that require maintenance of equipment and software. Examples include Enterprise Resource Planning (ERP) solutions, payroll service, time and attendance, travel and expense reporting among others. Organizations may require some level of management access to these hosted applications and will typically require session encryption or a dedicated channel for this activity.
In other cases, hosted applications may be fully managed by a hosting service provider with service level agreement expectations for availability and performance as well as for security functions including malware detection. Due to the sensitive nature of these hosted environments, the use of encryption is already prevalent. Any impact may be similar to an enterprise with tools being used inside of the hosted environment to monitor traffic. Additional concerns were not reported in the call for contributions.
Performance, availability, and other aspects of a SLA are often collected through passive monitoring. For example:
Here, as with all passive monitoring, the accuracy of inferences are dependent on the cleartext information available, and encryption would tend to reduce the information and therefore, the accuracy of each inference. Passive measurement of some metrics will be impossible with encryption that prevents inferring packet correspondence across multiple observation points, such as for packet loss metrics.
Until application logging is sufficient, the ability to make accurate inferences in an environment with increased encryption will remain a gap for passive performance monitoring.
Mail (application) service providers vary in what services they offer. Options may include a fully hosted solution where mail is stored external to an organization's environment on mail service provider equipment or the service offering may be limited to monitor incoming mail to remove SPAM [Section 5.1], malware [Section 5.6], and phishing attacks [Section 5.3] before mail is directed to the organization's equipment. In both of these cases, content of the messages and headers is monitored to detect SPAM, malware, phishing, and other messages that may be considered an attack.
STARTTLS ought have zero effect on anti-SPAM efforts for SMTP traffic. Anti-SPAM services could easily be performed on an SMTP gateway, eliminating the need for TLS decryption services. The impact to Anti-SPAM service providers should be limited to a change in tools, where middle boxes were deployed to perform these functions.
Many efforts are emerging to improve user-to-user encryption, including promotion of PGP and newer efforts such as Dark Mail [DarkMail]. Of course, SPAM filtering will not be possible on encrypted content.
Numerous service offerings exist that provide hosted storage solutions. This section describes the various offerings and details the monitoring for each type of service and how encryption may impact the operational and security monitoring performed.
Trends in data storage encryption for hosted environments include a range of options. The following list is intentionally high-level to describe the types of encryption used in coordination with data storage that may be hosted remotely, meaning the storage is physically located in an external data center requiring transport over the Internet. Options for monitoring will vary with each encryption approach described below.
For higher security and/or privacy of data and applications, options that provide end-to-end encryption of the data from the user's desktop or server to the storage platform may be preferred. With this description, host level encryption includes any solution that encrypts data at the object level, not transport level. Encryption of data may be performed with libraries on the system or at the application level, which includes file encryption services via a file manager. Host-level encryption is useful when data storage is hosted, or scenarios when storage location is determined based on capacity or based on a set of parameters to automate decisions. This could mean that large data sets accessed infrequently could be sent to an off-site storage platform at an external hosting service, data accessed frequently may be stored locally, or the decision could be based on the transaction type. Host-level encryption is grouped separately for the purpose of this document since data may be stored in multiple locations including off-site remote storage platforms. If session encryption is used, the protocol is likely to be TLS.
Monitoring of hosted storage solutions that use host-level (object) encryption is described in this subsection. Host-level encryption can be employed for backup services, and occasionally for external storage services (operated by a third party) when internal storage limits are exceeded.
Monitoring of data flows to hosted storage solutions is performed for security and operational purposes. The security monitoring may be to detect anomalies in the data flows that could include changes to destination, the amount of data transferred, or alterations in the size and frequency of flows. Operational considerations include capacity and availability monitoring.
There are multiple ways to achieve full disk encryption for stored data. Encryption may be performed on data to be stored while in transit close to the storage media with solutions like Controller Based Encryption (CBE) or in the drive system with Self-Encrypting Drives (SED). Session encryption is typically coupled with encryption of these data at rest (DAR) solutions to also protect data in transit. Transport encryption is likely via TLS.
Monitoring for transport of data to storage platforms, where object level encryption is performed close to or on the storage platform are similar to those described in the section on Monitoring for Hosted Storage. The primary difference for these solutions is the possible exposure of sensitive information, which could include privacy related data, financial information, or intellectual property if session encryption via TLS is not deployed. Session encryption is typically used with these solutions, but that decision would be based on a risk assessment. There are use cases where DAR or disk-level encryption is required. Examples include preventing exposure of data if physical disks are stolen or lost. In the case where TLS is in use, monitoring and the exposure of data is limited to a 5-tuple.
Storage services also include data replication which may occur between data centers and may leverage Internet connections to tunnel traffic. The traffic may use iSCSI [RFC7143] or FC/IP [RFC7146] encapsulated in IPsec. Either transport or tunnel mode may be used for IPsec depending upon the termination points of the IPsec session, if it is from the storage platform itself or from a gateway device at the edge of the data center respectively.
Monitoring for data replication services are described in this subsection.
Monitoring of data flows between data centers may be performed for security and operational purposes and would typically concentrate more on operational aspects since these flows are essentially virtual private networks (VPN) between data centers. Operational considerations include capacity and availability monitoring. The security monitoring may be to detect anomalies in the data flows, similar to what was described in the "Monitoring for Hosted Storage Section". If IPsec tunnel mode is in use, monitoring is limited to a 2-tuple, or with transport mode, a 5-tuple.
Encryption of network traffic within the private enterprise is a growing trend, particularly in industries with audit and regulatory requirements. Some enterprise internal networks are almost completely TLS and/or IPsec encrypted.
For each type of monitoring, different techniques and access to parts of the data stream are part of current practice. As we transition to an increased use of encryption, alternate methods of monitoring for operational purposes may be necessary to reduce the practice of breaking encryption (other policies may apply in some enterprise settings).
Large corporate enterprises are the owners of the platforms, data, and network infrastructure that provide critical business services to their user communities. As such, these enterprises are responsible for all aspects of the performance, availability, security, and quality of experience for all user sessions. These responsibilities break down into three basic areas:
In each of the above areas, technical support teams utilize collection, monitoring, and diagnostic systems. Some organizations currently use attack methods such as replicated TLS server RSA private keys to decrypt passively monitored copies of encrypted TLS packet streams.
For an enterprise to avoid costly application down time and deliver expected levels of performance, protection, and availability, some forms of traffic analysis, sometimes including examination of packet payloads, are currently used.
Enterprise users are subject to the policies of their organization and the jurisdictions in which the enterprise operates. As such, proxies may be in use to:
A significant portion of malware hides its activity within TLS or other encrypted protocols. This includes lateral movement, Command and Control, and Data Exfiltration. Detecting these functions are important to effective monitoring and mitigation of malicious traffic, not limited to malware.
Security monitoring in the enterprise may also be performed at the endpoint with numerous current solutions that mitigate the same problems as some of the above mentioned solutions. Since the software agents operate on the device, they are able to monitor traffic before it is encrypted, monitor for behavior changes, and lock down devices to use only the expected set of applications. Session encryption does not affect these solutions. Some might argue that scaling is an issue in the enterprise, but some large enterprises have used these tools effectively.
There are two main goals of monitoring:
Network-based Application Performance Monitoring tracks application response time by user and by URL, which is the information that the application owners and the lines of business request. Content Delivery Networks (CDNs) add complexity in determining the ultimate endpoint destination. By their very nature, such information is obscured by CDNs and encrypted protocols -- adding a new challenge for troubleshooting network and application problems. URL identification allows the application support team to do granular, code level troubleshooting at multiple tiers of an application.
New methodologies to monitor user perceived response time and to separate network from server time are evolving. For example, the IPv6 Destination Option Header (DOH) implementation of Performance and Diagnostic Metrics (PDM) will provide this [I-D.ietf-ippm-6man-pdm-option]. Using PDM with IPSec Encapsulating Security Payload (ESP) Transport Mode requires placement of the PDM DOH within the ESP encrypted payload to avoid leaking timing and sequence number information that could be useful to an attacker. Use of PDM DOH also may introduce some security weaknesses, including a timing attack, as described in Section 7 of [I-D.ietf-ippm-6man-pdm-option]. For these and other reasons, [I-D.ietf-ippm-6man-pdm-option] requires that the PDM DOH option be explicitly turned on by administrative action in each host where this measurement feature will be used.
One primary key to network troubleshooting is the ability to follow a transaction through the various tiers of an application in order to isolate the fault domain. A variety of factors relating to the structure of the modern data center and multi-tiered application have made it difficult to follow a transaction in network traces without the ability to examine some of the packet payload. Alternate methods, such as log analysis need improvement to fill this gap.
Content Delivery Networks (CDNs) and NATs and Network Address and Port Translators (NAPT) obscure the ultimate endpoint designation (See [RFC6269] for types of address sharing and a list of issues). Troubleshooting a problem for a specific end user requires finding information such as the IP address and other identifying information so that their problem can be resolved in a timely manner.
NAT is also frequently used by lower layers of the data center infrastructure. Firewalls, Load Balancers, Web Servers, App Servers, and Middleware servers all regularly NAT the source IP of packets. Combine this with the fact that users are often allocated randomly by load balancers to all these devices, the network troubleshooter is often left with very few options in today's environment due to poor logging implementations in applications. As such, network troubleshooting is used to trace packets at a particular layer, decrypt them, and look at the payload to find a user session.
This kind of bulk packet capture and bulk decryption is frequently used when troubleshooting a large and complex application. Endpoints typically don't have the capacity to handle this level of network packet capture, so out-of-band networks of robust packet brokers and network sniffers that use techniques such as copies of TLS RSA private keys accomplish this task today.
TCP Pipelining/Session Multiplexing used mainly by middle boxes today allow for multiple end user sessions to share the same TCP connection. Today's network troubleshooter often relies upon session decryption to tell which packet belongs to which end user, since the logs are currently inadequate for the analysis performed.
Increased use of HTTP/2 will likely further increase the prevalence of session multiplexing, both on the Internet and in the private data center.
When an application server makes an HTTP service call to back end services on behalf of a user session, it uses a completely different URL and a completely different TCP connection. Troubleshooting via network trace involves matching up the user request with the HTTP service call. Some organizations do this today by decrypting the TLS packet and inspecting the payload. Logging has not been adequate for their purposes.
Many applications use text formats such as XML to transport data or application level information. When transaction failures occur and the logs are inadequate to determine the cause, network and application teams work together, each having a different view of the transaction failure. Using this troubleshooting method, the network packet is correlated with the actual problem experienced by an application to find a root cause. The inability to access the payload prevents this method of troubleshooting.
Corporate networks commonly monitor outbound session traffic to detect or prevent attacks as well as to guarantee service level expectations. In some cases, alternate options are available when encryption is in use, but techniques like that of data leakage prevention tools at a proxy would not be possible if encrypted traffic cannot be intercepted, encouraging alternate options such as performing these functions at the edge.
Some DLP tools intercept traffic at the Internet gateway or proxy services with the ability to man-in-the-middle (MiTM) encrypted session traffic (HTTP/TLS). These tools may use key words important to the enterprise including business sensitive information such as trade secrets, financial data, personally identifiable information (PII), or personal health information (PHI). Various techniques are used to intercept HTTP/TLS sessions for DLP and other purposes, and are described in "Summarizing Known Attacks on TLS and DTLS" [RFC7457]. Note: many corporate policies allow access to personal financial and other sites for users without interception. Another option is to terminate a TLS session prior to the point where monitoring is performed.
Monitoring traffic patterns for anomalous behavior such as increased flows of traffic that could be bursty at odd times or flows to unusual destinations (small or large amounts of traffic) is common. This traffic may or may not be encrypted and various methods of encryption or just obfuscation may be used.
Restrictions on traffic to approved sites: Web proxies are sometimes used to filter traffic, allowing only access to well-known sites found to be legitimate and free of malware on last check by a proxy service company. This type of restriction is usually not noticeable in a corporate setting as the typical corporate user does not access sites that are not well-known to these tools, but may be noticeable to those in research who are unable to access colleague's individual sites or new web sites that have not yet been screened. In situations where new sites are required for access, they can typically be added after notification by the user or proxy log alerts and review. Home mail account access may be blocked in corporate settings to prevent another vector for malware to enter as well as for intellectual property to leak out of the network. This method remains functional with increased use of encryption and may be more effective at preventing malware from entering the network. Web proxy solutions monitor and potentially restrict access based on the destination URL or the DNS name. A complete URL may be used in cases where access restrictions vary for content on a particular site or for the sites hosted on a particular server.
Desktop DLP tools are used in some corporate environments as well. Since these tools reside on the desktop, they can intercept traffic before it is encrypted and may provide a continued method of monitoring intellectual property leakage from the desktop to the Internet or attached devices.
DLP tools can also be deployed by Network Service providers, as they have the vantage point of monitoring all traffic paired with destinations off the enterprise network. This makes an effective solution for enterprises that allow "bring-your-own" devices when the traffic is not encrypted, and for devices outside the desktop category (such as mobile phones) that are used on corporate networks nonetheless.
Enterprises may wish to reduce the traffic on their Internet access facilities by monitoring requests for within-policy content and caching it. In this case, repeated requests for Internet content spawned by URLs in e-mail trade newsletters or other sources can be served within the enterprise network. Gradual deployment of end to end encryption would tend to reduce the cacheable content over time, owing to concealment of critical headers and payloads. Many forms of enterprise performance management may be similarly affected.
Effective incident response today requires collaboration at Internet scale. This section will only focus on efforts of collaboration at Internet scale that are dedicated to specific attack types. They may require new monitoring and detection techniques in an increasingly encrypted Internet. As mentioned previously, some service providers have been interfering with STARTTLS to prevent session encryption to be able to perform functions they are used to (injecting ads, monitoring, etc.). By detailing the current monitoring methods used for attack detection and response, this information can be used to devise new monitoring methods that will be effective in the changed Internet via collaboration and innovation.
The largest operational effort to prevent mail abuse is through the Messaging, Malware, Mobile Anti-Abuse Working Group (M3AAWG)[M3AAWG]. Mail abuse is combatted directly with mail administrators who can shut down or stop continued mail abuse originating from large scale providers that participate in using the Abuse Reporting Format (ARF) agents standardized in the IETF [RFC5965], [RFC6430], [RFC6590], [RFC6591], [RFC6650], [RFC6651], and [RFC6652]. The ARF agent directly reports abuse messages to the appropriate service provider who can take action to stop or mitigate the abuse. Since this technique uses the actual message, the use of SMTP over TLS between mail gateways will not affect its usefulness. As mentioned previously, SMTP over TLS only protects data while in transit and the messages may be exposed on mail servers or mail gateways if a user-to-user encryption method is not used. Current user-to-user message encryption methods on email (S/MIME and PGP) do not encrypt the email header information used by ARF and the service provider operators in their abuse mitigation efforts.
Response to Denial of Service (DoS) attacks are typically coordinated by the SP community with a few key vendors who have tools to assist in the mitigation efforts. Traffic patterns are determined from each DoS attack to stop or rate limit the traffic flows with patterns unique to that DoS attack.
Data types used in monitoring traffic for DDoS are described in the DDoS Open Threat Signaling (DOTS) working group documents in development.
Data types used in DDoS attacks have been detailed in the IODEF Guidance draft [I-D.ietf-mile-iodef-guidance], Appendix A.2, with the help of several members of the service provider community. The examples provided are intended to help identify the useful data in detecting and mitigating these attacks independent of the transport and protocol descriptions in the drafts.
Investigations and response to phishing attacks follow well-known patterns, requiring access to specific fields in email headers as well as content from the body of the message. When reporting phishing attacks, the recipient has access to each field as well as the body to make content reporting possible, even when end-to-end encryption is used. The email header information is useful to identify the mail servers and accounts used to generate or relay the attack messages in order to take the appropriate actions. The content of the message often contains an embedded attack that may be in an infected file or may be a link that results in the download of malware to the user's system.
Administrators often find it helpful to use header information to track down similar message in their mail queue or users inboxes to prevent further infection. Combinations of To:, From:, Subject:, Received: from header information might be used for this purpose. Administrators may also search for document attachments of the same name, size, or containing a file with a matching hash to a known phishing attack. Administrators might also add URLs contained in messages to block lists locally or this may also be done by browser vendors through larger scales efforts like that of the Anti-Phishing Working Group (APWG). See the Coordinating Attack Response at Internet Scale (CARIS) workshop Report [RFC8073] for additional information and pointers to the APWG's efforts on anti- phishing.
A full list of the fields used in phishing attack incident response can be found in RFC5901. Future plans to increase privacy protections may limit some of these capabilities if some email header fields are encrypted, such as To:, From:, and Subject: header fields. This does not mean that those fields should not be encrypted, only that we should be aware of how they are currently used.
Some products protect users from phishing by maintaining lists of known phishing domains (such as misspelled bank names) and blocking access. This can be done by observing DNS, clear-text HTTP, or SNI in TLS, in addition to analyzing email. Alternate options to detect and prevent phishing attacks may be needed. More recent examples of data exchanged in spear phishing attacks has been detailed in the IODEF Guidance draft [I-D.ietf-mile-iodef-guidance], Appendix A.3.
Botnet detection and mitigation is complex and may involve hundreds or thousands of hosts with numerous Command and Control (C&C) servers. The techniques and data used to monitor and detect each may vary. Connections to C&C servers are typically encrypted, therefore a move to an increasingly encrypted Internet may not affect the detection and sharing methods used.
Malware monitoring and detection techniques vary. As mentioned in the enterprise section, malware monitoring may occur at gateways to the organization analyzing email and web traffic. These services can also be provided by service providers, changing the scale and location of this type of monitoring. Additionally, incident responders may identify attributes unique to types of malware to help track down instances by their communication patterns on the Internet or by alterations to hosts and servers.
Data types used in malware investigations have been summarized in an example of the IODEF Guidance draft [I-D.ietf-mile-iodef-guidance], Appendix A.1.
The IETF has reacted to spoofed source IP address-based attacks, recommending the use of network ingress filtering [RFC2827] and the unicast Reverse Path Forwarding (uRPF) mechanism [RFC2504]. But uRPF suffers from limitations regarding its granularity: a malicious node can still use a spoofed IP address included inside the prefix assigned to its link. The Source Address Validation Improvements (SAVI) mechanisms try to solve this issue. Basically, a SAVI mechanism is based on the monitoring of a specific address assignment/management protocol (e.g., SLAAC [RFC4862], SEND [RFC3971], DHCPv4/v6 [RFC2131][RFC3315]) and, according to this monitoring, set-up a filtering policy allowing only the IP flows with a correct source IP address (i.e., any packet with a source IP address, from a node not owning it, is dropped). The encryption of parts of the address assignment/management protocols, critical for SAVI mechanisms, can result in a dysfunction of the SAVI mechanisms.
Although incident response work will continue, new methods to prevent system compromise through security automation and continuous monitoring [SACM] may provide alternate approaches where system security is maintained as a preventative measure.
This section describes specific techniques used in monitoring applications that may apply to various network types. It also inlcudes an overview of IPFIX, a flow-based protocol used to export information about network flows.
Many of the accounting, monitoring and measurement tasks described in this document, especially Section 2.3.2, Section 3.1.1, Section 4.1.3, Section 4.2, and Section 5.2 use the IPFIX protocol [RFC7011] for export and storage of the monitored information. IPFIX evolved from the widely-deployed NetFlow protocol [RFC3954], which exports information about flows identified by 5-tuple. While NetFlow was largely concerned with exporting per-flow byte and packet counts for accounting purposes, IPFIX's extensible information model [RFC7012] provides a variety of Information Elements (IEs) [IPFIX-IANA] for representing information above and below the traditional network layer flow information. Enterprise-specific IEs allow exporter vendors to define their own non-standard IEs, as well, and many of these are driven by header and payload inspection at the metering process.
While the deployment of encryption has no direct effect on the use of IPFIX, certain defined IEs may become unavailable when the metering process observing the traffic cannot decrypt formerly cleartext information For example, HTTPS renders HTTP header analysis impossible, so IEs derived from the header (e.g. httpContentType, httpUserAgent) cannot be exported.
The collection of IPFIX data itself, of course, provides a point of centralization for potentially business- and privacy-critical information. The IPFIX File Format specification [RFC5655] recommends encryption for this data at rest, and the IP Flow Anonymization specification [RFC6235] defines a metadata format for describing the anonymization functions applied to an IPFIX dataset, if anonymization is employed for data sharing of IPFIX information between enterprises or network operators.
When initiating the TLS handshake, the Client may provide an extension field (server_name) which indicates the server to which it is attempting a secure connection. TLS SNI was standardized in 2003 to enable servers to present the "correct TLS certificate" to clients in a deployment of multiple virtual servers hosted by the same server infrastructure and IP-address. Although this is an optional extension, it is today supported by all modern browsers, web servers and developer libraries. Akamai reports that many of their customer see client TLS SNI usage over 99%. It should be noted that HTTP/2 introduces the Alt-SVC method for upgrading the connection from HTTP/1 to either unencrypted or encrypted HTTP/2. If the initial HTTP/1 request is unencrypted, the destination alternate service name can be identified before the communication is potentially upgraded to encrypted HTTP/2 transport. HTTP/2 requires the TLS implementation to support the Server Name Indication (SNI) extension (see section 9.2 of [RFC7540]).
This information is only visible if the client is populating the Server Name Indication extension. This need not be done, but may be done as per TLS standard and as stated above this has been implemented by all major browsers. Therefore, even if existing network filters look out for seeing a Server Name Indication extension, they may not find one. The SNI Encryption in TLS Through Tunneling draft has been adopted by the TLS working group, which provides soltuions to encrypt SNI. As such, there will be an option to encrypt SNI in future versions of TLS. The per-domain nature of SNI may not reveal the specific service or media type being accessed, especially where the domain is of a provider offering a range of email, video, Web pages etc. For example, certain blog or social network feeds may be deemed 'adult content', but the Server Name Indication will only indicate the server domain rather than a URL path.
ALPN is a TLS extension which may be used to indicate the application protocol within the TLS session. This is likely to be of more value to the network where it indicates a protocol dedicated to a particular traffic type (such as video streaming) rather than a multi-use protocol. ALPN is used as part of HTTP/2 'h2', but will not indicate the traffic types which may make up streams within an HTTP/2 multiplex. ALPN will be encrypted in TLS 1.3.
The content length of encrypted traffic is effectively the same as the cleartext. Although block ciphers utilise padding, this makes a negligible difference. Bitrate and pacing are generally application specific, and do not change much when the content is encrypted. Multiplexed formats (such as HTTP/2 and QUIC) may however incorporate several application streams over one connection, which makes the bitrate/pacing no longer application-specific.
This section considers the effects of transport level encryption on existing forms of mobile network optimization techniques, as well as potential new services. The material in this section assumes familiarity with mobile network concepts, specifications, and architectures. Readers who need additional background should start with the 3GPP's web pages on various topics of interest[Web3GPP], especially the article on Long Term Evolution (LTE). 3GPP provides a mapping between their expanding technologies and the different series of technical specifications [Map3GPP]. 3GPP also has a canonical specification of their vocabulary, definitions, and acronyms [Vocab], as does the RFC Editor for abbreviations [RFCEdit].
The stream of TCP ACKs that flow from a receiver of a byte stream using TCP for reliability, flow-control, and NAT/firewall transversal is called an ACK stream. The ACKs contain segment numbers that confirm successful transmission and their RTT, or indicate packet loss (duplicate ACKs). If this view of progress of stream transfer is lost, then the mobile network has greatly reduced ability to monitor transport layer performance. When the ACK stream is encrypted, it prevents the following mobile network functions from operating:
When the Transport Header is encrypted, it prevents the following mobile network features from operating:
This section describes some new/emerging mobile services and how they might be affected with transport encryption:
The transport header encryption prevents trusted transit proxies. It may be that the benefits of such proxies could be achieved by end to end client & server optimizations and distribution using CDNs, plus the ability to continue connections across different access technologies (across dynamic user IP addresses). The following aspects need to be considered in this approach:
In the best case scenario, engineers and other innovators would work to solve the problems at hand in new ways rather than prevent the use of encryption. As stated in [RFC7258], "an appropriate balance (between network management and PM mitigations) will emerge over time as real instances of this tension are considered."
There has already been documented cases of service providers preventing STARTTLS [NoEncrypt] to prevent session encryption negotiation on some session to inject a super cookie. In order to effectively deploy encryption and prevent interception, considerations for protocol design should factor in network management functions to work toward the balance called out in RFC7258.
It is well known that national surveillance programs monitor traffic [JNSLP] as Internet security practitioners monitor for criminal activities. Governments vary on their balance between monitoring versus the protection of user privacy, data, and assets. Those that favor unencrypted access to data ignore the real need to protect users' identity, financial transactions and intellectual property, which requires security and encryption to prevent crime. A clear understanding of technology, encryption, and monitoring goals will aid in the development of solutions to appropriately balance these with privacy. As this understanding increases, hopefully the discussions will improve; this draft is meant to help further the discussion.
Changes to improve encryption or to deploy OS methods have little impact on the detection of malicious actors; they already have access to strong encryption. The current push to increase encryption is aimed at increasing users' privacy and providing application integrity. There is already protection in place for purchases, financial transactions, systems management infrastructure, and intellectual property although this too can be improved. The Opportunistic Security (OS) [RFC7435] efforts aim to increase the costs of monitoring through the use of encryption that can be subject to active attacks, but make passive monitoring broadly cost prohibitive. This is meant to restrict monitoring to sessions where there is reason to have suspicion.
There are no additional security considerations as this is a summary and does not include a new protocol or functionality.
This memo makes no requests of IANA.
Thanks to our reviewers, Natasha Rooney, Kevin Smith, Ashutosh Dutta, Brandon Williams, Jean-Michel Combes, Nalini Elkins, Paul Barrett, Badri Subramanyan, Igor Lubashev, Suresh Krishnan, Dave Dolson, Mohamed Boucadair, Stephen Farrell, Warren Kumari, Alia Atlas, Roman Danyliw, and Mirja Kuhlewind for their editorial and content suggestions. Surya K. Kovvali provided material for section 7. Chris Morrow and Nik Teague provided reviews and updates specific to the DoS fingerprinting text. Brian Trammell provided the IPFIX text.