Internet DRAFT - draft-jilongwang-opsawg-cyberresource-measurement
draft-jilongwang-opsawg-cyberresource-measurement
opsawg CJF. Chen, Ed.
Internet-Draft SZ. Sun, Ed.
Intended status: Informational HD. He, Ed.
Expires: March 26, 2020 XR. Xu, Ed.
CETC 30
WJL. Wang, Ed.
Tsinghua University
September 23, 2019
Cyberspace Resources Measurement
draft-jilongwang-opsawg-cyberresource-measurement-00
Abstract
This memo describes the measurement of cyberspace resource; it adopts
a multi-level hierarchical indicator system, which focuses on the
unified calculation of the measurement weigh of cyberspace resources.
The goal of this draft is to discuss the basic principles and the
methodology of measurement standards. Additionally, demonstrating
how the cyberspace resources can be measured based on the existing
economy information measurement, geographic information measurement
and statistical theory.
Status of This Memo
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 3
2. Terminology and Definition . . . . . . . . . . . . . . . . . 4
2.1. Terminology and Definition . . . . . . . . . . . . . . . 4
2.2. Symbols and abbreviations . . . . . . . . . . . . . . . . 6
3. Basic principles of Measurement Standards . . . . . . . . . . 6
3.1. Rationality principle . . . . . . . . . . . . . . . . . . 7
3.2. Applicability principle . . . . . . . . . . . . . . . . . 7
3.3. Scalability principle . . . . . . . . . . . . . . . . . . 8
3.4. Comparability principle . . . . . . . . . . . . . . . . 8
4. Cyberspace resources measurement indicators and methods . . . 8
4.1. Measurement index system . . . . . . . . . . . . . . . . 9
4.2. Measurement method . . . . . . . . . . . . . . . . . . . 9
5. Measurement of Physical Cyberspace Resources for Network
Resources . . . . . . . . . . . . . . . . . . . . . . . . . . 11
5.1. Physical information measurement . . . . . . . . . . . . 11
5.1.1. Geographic Information Measurement . . . . . . . . . 12
5.1.2. Organization Measurement . . . . . . . . . . . . . . 13
5.1.3. Device information measurement . . . . . . . . . . . 14
5.2. Topology Measurement . . . . . . . . . . . . . . . . . . 17
5.2.1. General Measurement . . . . . . . . . . . . . . . . . 17
5.2.2. AS Topology Measurement . . . . . . . . . . . . . . . 19
5.2.3. Router Topology Measurement . . . . . . . . . . . . . 21
5.2.4. IP Topology Measurement . . . . . . . . . . . . . . . 22
5.3. Node Measurement . . . . . . . . . . . . . . . . . . . . 23
5.3.1. General Measurement . . . . . . . . . . . . . . . . . 23
5.3.2. Node performance measurement . . . . . . . . . . . . 25
5.4. Internet Service Measurement . . . . . . . . . . . . . . 27
5.4.1. General Measurement . . . . . . . . . . . . . . . . . 28
5.4.2. P2P Service Measurement . . . . . . . . . . . . . . . 29
5.4.3. P2P Service Measurement . . . . . . . . . . . . . . . 30
5.4.4. FTP Service Measurement . . . . . . . . . . . . . . . 31
5.4.5. VPN Service Measurement . . . . . . . . . . . . . . . 32
5.5. Security Measurement . . . . . . . . . . . . . . . . . . 33
5.5.1. Encryption Measurement . . . . . . . . . . . . . . . 34
5.5.2. Authentication Measurement . . . . . . . . . . . . . 35
5.5.3. Patch Measurement . . . . . . . . . . . . . . . . . . 36
5.5.4. Vulnerability Measurement . . . . . . . . . . . . . . 38
5.5.5. Host Security Measurement . . . . . . . . . . . . . . 40
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5.6. Transmission Measurement . . . . . . . . . . . . . . . . 41
5.6.1. Information Measurement . . . . . . . . . . . . . . . 42
5.6.2. Wireless Measurement . . . . . . . . . . . . . . . . 42
6. Measurement of Virtual Cyberspace Resources . . . . . . . . . 45
6.1. Virtual Subject Measurement . . . . . . . . . . . . . . . 45
6.1.1. Account Measurement . . . . . . . . . . . . . . . . . 45
6.1.1.1. Email Address . . . . . . . . . . . . . . . . . . 45
6.1.1.2. Social Account . . . . . . . . . . . . . . . . . 47
6.1.1.3. Shopping Account . . . . . . . . . . . . . . . . 49
6.1.1.4. Game Account . . . . . . . . . . . . . . . . . . 51
6.1.1.5. Cloud Account . . . . . . . . . . . . . . . . . . 54
6.1.1.6. Financial Account . . . . . . . . . . . . . . . . 55
6.1.2. General Measurement . . . . . . . . . . . . . . . . . 57
6.1.3. Group Measurement . . . . . . . . . . . . . . . . . . 60
6.2. Mapping Entity Measurement . . . . . . . . . . . . . . . 61
6.2.1. General Measurement . . . . . . . . . . . . . . . . . 62
6.2.2. Group Measurement . . . . . . . . . . . . . . . . . . 65
7. Acknowledgements . . . . . . . . . . . . . . . . . . . . . . 66
8. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 66
9. Security Considerations . . . . . . . . . . . . . . . . . . . 66
10. Normative References . . . . . . . . . . . . . . . . . . . . 67
Authors' Addresses . . . . . . . . . . . . . . . . . . . . . . . 67
1. Introduction
Cyberspace resources are the sum of various elements in cyberspace,
such as medium, information and subject, covering not only the
Internet infrastructure physical resources such as communication
infrastructure, IP network, overlay network, application support
system, but also the virtual resources such as information content
and users hosted on physical facilities.
Cyberspace mapping, in accordance with certain methods, techniques
and standards, uses software or hardware tools to recognize the
compositions, behaviors and development rules of cyberspace by
testing multiple indicators characterizing the state, attributes and
relationships of various layers of cyberspace. The range of mapping
could be local or global in cyberspace. The objects to be measured
include the composition, structure, attributes, behaviors,
characteristics, rules and trends of cyberspace. The information
obtained by measurement is a kind of typical big data, enjoying the
characteristics of diverse content formats, complex structures and
rapid updating, thus brings great difficulty to the understanding,
interaction and communication of mapping information. Meanwhile,
there are many existing measurement methods, and each has its own
advantages and disadvantages. Therefore, the measurement methods
must be selected and combined in measuring cyberspace resources, and
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the principles of rationality, practicability, scalability and
comparability should be followed during the method selection.
Rationality refers to whether the selected method could objectively
measure the effect of cyberspace resources measurement, whether it
could cover all aspects of cyberspace resources, and whether it could
highlight the characteristics and focus of cyberspace measurement.
Applicability requires consideration of data source and development
situation of the measurement object itself during measurement methods
selection. Scalability refers to the development and variability of
measurement methods, embodied in two aspects, i.e., the scalability
of index system and the scalability of indexes used in measurement.
Comparability refers to the method could be used to measure different
cyberspace resources and mapping results in different periods. The
establishment of measurement index system is the first priority in
cyberspace resources measurement. Based on the existing information
economy measurement, geographic information measurement and
statistical theory and methods, a three-level measurement index
system is developed in the draft in combination of the principles and
mechanisms research of cyberspace resources mapping, as well as the
research on cyberspace resources measurement methods. Domain expert
knowledge and original information are comprehensively considered to
calculate and determine the weighting factors of measurement
indicators in the draft.
Originated from satisfying the basic requirements of cyberspace
resources mapping, this draft standard adopts a multi-level
hierarchical index system, and focuses on the unified regulations of
calculating measurement weights of cyberspace resources.
2. Terminology and Definition
2.1. Terminology and Definition
The following terms and definitions apply to this document.
Cyberspace
Cyberspace is a combination of virtual and physical space where human
beings use information facilities to construct, realize information
interaction, and then influence human thoughts and behaviors. It
relies on the carriers of information and communication technology
infrastructure such as the Internet, telecommunication network and
various control systems and devices.
Cyberspace resource
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Cyberspace resources refer to the entities that could be detected and
perceived though cyberspace means, including resources on various
types of networks such as the Internet, telecommunication network and
industrial control network. Specifically, cyberspace resources
include physical devices such as network infrastructure and network
access, information resources and network services such as audio,
video, websites and text data, and network avatars and IP-based
various telecommunication network devices and industrial control
systems.
Entity
Entities are interdependent networks of information technology
infrastructure, including computers, communication network systems,
information systems, embedded processors, controllers, and the data
held therein.
Virtual entity
Virtual entities are virtual resources that cover information content
and users carried on network entity, including various types of
network accounts.
Mapping entity
By designing an effective positioning algorithm and association
analysis method, the virtual entity resource is mapped to the social
space, that is, the subject behind the virtual entity is the
corresponding mapping entity.
Cyberspace resource measurement
The cyberspace resource measurement refers to the quantitative
calculation of the detectable attributes of cyberspace resources
under a certain scale.
Measure space
The attribute set of the resource t_p is X, A represents the complete
set of resource t_p , and S represents the measure of resource t_p.
The triple (X, A, S) is the measure space of cyberspace resource t_p.
Indicator
The indicator is a concept that describes the characteristics of
cyberspace resources. It embodies the quality and quantity
prescriptiveness of substance.
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Indicator system
Indicator system refers to the organism composed of several
interconnected statistical indicators, which is the premise and basis
for conducting prediction or evaluation research. It decomposes the
abstract research object into behavioral, operational structure
according to sign of its essential attributes and characteristics,
and the process of assigning weights to each of the constituent
elements (ie, indicators) in the indicator system.
Weight
In the field of mathematics, weight refers to the frequency of each
of the weighted averages, also known as weight number or weight
function. In the measurement of cyberspace resources, weight
represents the importance of cyberspace measurement indicators.
Information entropy
In information theory, entropy is the average of the information
contained in each received message, also known as information
entropy, source entropy, and average self-information. Information
entropy could be understood as a measure of uncertainty, the larger
value of entropy, the more random distribution of sources. In the
measurement of cyberspace resources, information entropy could be
used to describe the uncertainty of resource attributes in network
measurements.
2.2. Symbols and abbreviations
RDF Resource Description Framework
RDFS Resource Description Framework Schema
URI Uniform Resource Identifier
VPN Virtual Private Network
HTTP HyperText Transfer Protocol
FTP File Transfer Protocol
3. Basic principles of Measurement Standards
There are many existing measurement methods, and each has its own
advantages and disadvantages. Therefore, the measurement methods
must be selected and combined in measuring cyberspace resources.
Certain principles should be followed during the measurement methods
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selection, and according to this standard, the following principles
should be followed.
3.1. Rationality principle
If a measurement method could be widely used and developed, its
scientific nature must be recognized, and it has been tested by
predecessors. This standard merely selects and combines among many
measurement methods, and gives a measurement method suitable for
cyberspace resources. Therefore, the scientific nature of the
selected measurement method could be ignored. Different measurement
objects are suitable for different measurement methods, thus the
rationality of the measurement method is an important principle that
must be considered. The so-called rationality here refers to whether
the selected method could objectively measure the effect of
cyberspace resources measurement, whether it could cover all aspects
of cyberspace resources, and whether it could highlight the
characteristics and focus of cyberspace measurement.
3.2. Applicability principle
Although the measurement effect of cyberspace resources belongs to
the category of measurement metrics, it also has its particularity.
First, it is a measurement of the macro category. This makes the
source of the measurement data must be of recognized or officially
recognized statistics. Secondly, the effectiveness measurement of
cyberspace resources measurement is still in the exploratory stage.
Currently a lot of data is not available, some data could merely be
partially obtained, and some data could not be guaranteed to be
correct. Therefore, the data source should be taken into
consideration, and choose the applicable measurement method.
Applicability principle requires that the choice of the measurement
method should consider the data source and the development of the
measurement object itself. Applicability requires consideration of
data source and development situation of the measurement object
itself during measurement methods selection.
Some methods seem to be rigorous, but lacking operability in use.
Some indicator systems are very complex and involve all aspects, but
could not be implemented because of lacking data. Importantly, due
to the universal connection between things, some aspects of data may
have the same revealing effect as the data in other aspects. If the
indicator system is too complicated and the data source is too
excessive, it will cover up the essence and is not conducive to
measurement. Therefore, the indicator system should not be
complicated, the design of the indicator system should consider the
relationship between the indicators, and the formulation of the
indicator items should consider the availability of data.
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3.3. Scalability principle
Scalability refers to the development and variability of measurement
method. In effectiveness measurement of cyberspace, scalability is
embodied in two aspects. One is the scalability of the indicator
system. The development of cyberspace mapping should be considered,
and in the early stage of effectiveness measurement of cyberspace
resources, the indicator system could be relatively rough, reflecting
the main aspects of cyberspace measurement. The second is the
scalability of the indicators used in the measurement. The designed
indicator system might be relatively complete. However, in the
implementation process, the indicators with strong operability could
be selected for investigation and measurement, and indicators could
be gradually expanded when the data is available. This principle is
also in line with the proposed cyberspace resource measurement life
cycle theory. Step by step, increase the dimensions and items of the
measure. The organic combination of various methods in the practical
measurement process is not simply using a certain method, but
integrating the applicable various methods to form a new method
system.
3.4. Comparability principle
The measurement is a global and holistic measurement of the object
system described by the multi-attribute architecture. According to
the characteristics of a complex system affected by multi-factors
simultaneously, when considering the relevant factors
comprehensively, the complex system is based on multiple relevant
indicators. Measurement results need to be compared, and there are
comparisons between different mapping methods, and comparisons of
different periods and different regions of a certain measurement
method. The purpose of comparison is to better understand the
cyberspace resources, analyze their advantages and disadvantages, and
then develop countermeasures for cyberspace mapping. To achieve the
goal of comparison, measurement methods must be of universality and
standardization characteristics, which can be used to measure
different cyberspace resources and mapping results in different
periods.
4. Cyberspace resources measurement indicators and methods
According to the state, structure and behavior characteristics of
resources in different levels of cyberspace, this draft divides the
measurement of cyberspace resources into two categories: entity
resources measurement and virtual resources measurement, which are
respectively used to measure the dominant and partially recessive
characteristics of resources at different levels.
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4.1. Measurement index system
The establishment of measurement index system is the first priority
in cyberspace resources measurement. This draft, based on the
existing information economy measurement, geographic information
measurement and statistical theory and methods, combines the
principles of and mechanisms research of cyberspace resources
mapping, as well as the research on cyberspace resources measurement
methods.
There are 26 indicators in the third level, wherein the physical
information measurement including geographic information measurement,
affiliated measurement, and device information measurement;
topological measurement including topological common measurement,
autonomous domain topology measurement, router topology measurement,
IP level topology measurement; node measurement including node common
measurement and performance measurement; network service measurement
including service common measurement, P2P measurement, HTTP
measurement, FTP measurement, VPN measurement; security measurement
including encryption measurement, authentication measurement, patch
measurement, vulnerability measurement, host security measurement;
transmission measurement including information measurement and
wireless measurement; the virtual subject measurement including
account measurement, common measurement, and group measurement; and
the projected entity measurement including common measurement and
group measurement.
The resource measurement index of each leaf level is composed by
measurement index name, measurement data type, measurement value
domain, normalized measurement value, and subjective index weight
value, and the resource measurement index of the non-leaf level is
composed by measurement index name, measurement mathematical symbol,
measurement and subjective measurement weight.
4.2. Measurement method
Measurement is quantitative calculation of an attribute under certain
scale.
The scale is determined by people's experience in observing objective
things, and it is not absolutely invariable. So, in order to
determine the measurement, the scale should be specified first.
Comprehensive measurement is a global and holistic measurement of the
object system described by multi-attribute architecture. That is,
according to the characteristic that a complex system is affected by
multi-factors simultaneously, when considering the relevant factors
comprehensively, the complex system is based on multiple relevant
indicators.
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From a mathematical point of view, measurement theory is a branch of
real analysis. The research object includes algebra, measurement,
measurable function and integral. It assigns a number to some subset
of a given set, and this number could be compared to size, volume,
probability, etc. This draft gives a mathematical definition of
measurement in order to derive the measurement definition of
cyberspace resources.
The measure (the positive measure that can be added) is a function.
The element set is a sub-set of X, and is a algebra. The measure is
defined on A, takes a range of values zero to infinity.
The measurement of empty set is zero.
Such triples (X, A, S) are called a measurement space, and elements
in A are called measurable sets in this space. The draft gives a
definition of measurement S of cyberspace resources based on the
mathematical definition of measurement. Define cyberspace as T,
there is a certain network resource t_p belongs to T, then the
attribute set of the resource t_p is X. The n-th measurement results
of the resource t_p are defined as A={a_1,a_2...}, and a certain
detection result is a_i belongs to A, and S is a measurement of
cyberspace resource t_p. Therefore, the measurement space of
cyberspace resource t_p is (X, A, S).
The detection result set a_i of the resource t_p includes j
measurement index attributes, wherein the measurement index
attributes are divided into two categories: numerical type and symbol
type. Since the dimensions, magnitude, and index of each indicator
have different positive and negative orientations, the initial data
needs to be normalized.
In summary, the value of the normalized index m_ji is [0, 1]. Since
the measurement indicators of cyberspace resources are of different
significance, some indicators could well represent the resource, but
some indicators are not characteristic attributes of the resource.
It is necessary to evaluate the importance of the measurement index,
and the importance of the indicator is the measurement weight W.
The methods for determining the weight of indicators mainly include
subjective weighting method and objective weighting method. The
subjective weighting method is a kind of method that determines the
weight according to the evaluator's subjective importance to each
index. The original weighting method based on the objective
weighting method comes from the objective environment, and it is
based on the amount of information provided by each indicator and
determines the weight of indicator. According to the idea of
information entropy, the amount of information and quality in the
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decision-making is one of the determinants of the accuracy and
reliability of decision-making. It is generally believed that the
higher the information entropy value, the more balanced the system
structure, the smaller the difference, or the slower the change;
conversely, the lower the information entropy, the more unbalanced
the system structure, the greater the difference, or the faster the
change. Therefore, the weight could be calculated according to the
magnitude of the entropy, that is, the variation degree of each index
value.
The calculation of the measurement weight W in this draft
comprehensively considers subjective factors and objective factors.
The weight W of the measurement index is equal to the subjective
weighting (domain expert) multiplied by the objective weighting
(information entropy) to determine the weighting coefficient of the
measurement index. Among them, the weights given by the domain
experts represent the prior knowledge, and the weights given by the
information entropy represent the objective measurement results.
Therefore, the weight W of the measure is equal to:
The calculation process of objective weighting W_o is given below.
Assuming that the measurement indices are independent random
variables, then the information entropy of the index is Shannon
information theory.
Obviously, the range of objective weighting is W_o belongs to [0,1],
so the index weight W belongs to [0,1]. Then according to the index
system layering, the level 3 measurement formula is sum up of W
multiply by m.
Obviously, the range of the measure S^k is S belongs to [0,1], and
the calculation formula of the level 1 and level 2 is W multiply by
S.
5. Measurement of Physical Cyberspace Resources for Network Resources
5.1. Physical information measurement
1) Name: phy_measure
2) Mathematical Symbol: S_p
3) Measurement: S_p= summation(s*w)
4) Subjective weight of indicator: W_p=0.1
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5.1.1. Geographic Information Measurement
1) Name: geo_measure
2) Mathematical Symbol: S_pg
3) Measurement: S_pg=summation(m*w)
4) Subjective weight of indicator: W_pg=0.1
Country
Indicator name: geo_measure:country
1) Data type: String(XMLSchema.STRING)
2) Measurement range: GB/T 2659-2000 Standard
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.02
City
Indicator name: geo_measure:city
1) Data type: String(XMLSchema.STRING)
2) Measurement range: GB/T 2659-2000 Standard
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.08
Street
Indicator name: geo_measure:street
1) Data type: String(XMLSchema.STRING)
2) Measurement range: GB/T 2659-2000 Standard
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Latitude
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Indicator name: geo_measure: latitude
1) Data type: String(XMLSchema.STRING)
2) Measurement range: GB/T 2659-2000 Standard
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.4
Longitude
Indicator name: geo_measure: longitude
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: GB/T 28589-2012 Standard
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.4
5.1.2. Organization Measurement
1) Name: org _ measure
2) Mathematical Symbol: S_po
3) Measurement: S_po=summation(m*w)
4) Subjective weight of indicator: W_po=0.4
Name
Indicator name: org _ measure: name
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Institutions
Indicator name: org _ measure: organization
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1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.4
Working area
Indicator name: org _ measure: zone
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.4
5.1.3. Device information measurement
1) Name: device _measure
2) Mathematical Symbol: S_pd
3) Measurement: S_pd=summation(m*w)
4) Subjective weight of indicator: W_pd=0.5
Manufacturer
Indicator name: device_measure: manufacturer
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Model Code
Indicator name: device_measure:entity_model
1) Data type: String(XMLSchema.STRING)
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2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Firmware version
Indicator name: device_measure:firmware
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
LAN Interface
Indicator name: device_measure: lan_interface
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
WAN Interface
Indicator name: device_measure: wan_interface
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Management Interface
Indicator name: device_measure: consoleinfo
1) Data type: String(XMLSchema.STRING)
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2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Ports
Indicator name: device_measure: interface_num
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: Not Required
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.1
Interface Rate
Indicator name: device_measure: interfacerate
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: Not Required
3) Normalization: Normalize by maximum
4) Subjective weight of indicator: w=0.1
Link rate
Indicator name: device_measure: linkrate
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: Not Required
3) Normalization: Normalize by maximum
4) Subjective weight of indicator: w=0.1
Camera
Indicator name: device_measure: camera
1) Data type: Boolean(XMLSchema.BOOLEAN)
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2) Measurement range: true, false
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
MAC address
Indicator name: device_measure: MAC address
1) Data type: String(XMLSchema.STRING)
2) Measurement range: 48bit hex format
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
5.2. Topology Measurement
1) Name: topo_measure
2) Mathematical Symbol: S_t
3) Measurement: S_t=summation(s*w)
4) Subjective weight of indicator: W_t=0.2
5.2.1. General Measurement
1) Name: topocommon_measure
2) Mathematical Symbol: S_tc
3) Measurement: S_tc=summation(m*w)
4) Subjective weight of indicator: W_tc=0.1
Topology
Indicator name: topocommon_measure:structure
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Bus type, ring type, star type
3) Normalization: m=0 , Not measured; m=1, Measured
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4) Subjective weight of indicator: w=0.1
Node
Indicator name: topocommon_measure:node
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Edge
Indicator name: topocommon_measure:edge
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Center Degree
Indicator name: topocommon_measure: centerdegree
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.15
Node Degree
Indicator name: topocommon_measure: nodedegree
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
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4) Subjective weight of indicator: w=0.15
SubNets
Indicator name: topocommon_measure: subnet_sum
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: Not Required
3) Normalization: Normalize by maximum
4) Subjective weight of indicator: w=0.1
Prefix
Indicator name: topocommon_measure: subnet_prefix
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
5.2.2. AS Topology Measurement
1) Name: as_measure
2) Mathematical Symbol: S_ta
3) Measurement: S_ta=summation(m*w)
4) Subjective weight of indicator: W_ta=0.3
Name
Indicator name: as_measure:name
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
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Number
Indicator name: as_measure:num
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: 1~232
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Type
Indicator name: as_measure:type
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Transit,Access,Enterpise,Content
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Organization
Indicator name: as_measure: organization
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Cone_size
Indicator name: as_measure:cone_size
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
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5.2.3. Router Topology Measurement
1) Name: router_measure
2) Mathematical Symbol: S_tr
3) Measurement: S_tr=summation(m*w)
4) Subjective weight of indicator: W_tr=0.3
Name
Indicator name: router_measure:name
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Number
Indicator name: router_measure:num
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Level
Indicator name: router _measure:level
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Access level, aggregation level, backbone level
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
AS Edge
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Indicator name: router _measure: as_edge_flag
1) Data type: Boolean(XMLSchema.BOOLEAN)
2) Measurement range: true, false
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Country/Edge
Indicator name: router _measure:country_edge_flag
1) Data type: Boolean(XMLSchema.BOOLEAN)
2) Measurement range: true, false
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
5.2.4. IP Topology Measurement
1) Name: ip_measure
2) Mathematical Symbol: S_ti
3) Measurement: S_ti=summation(m*w)
4) Subjective weight of indicator: W_ti=0.3
IP address
Indicator name: ip_measure:ip
1) Data type: String(XMLSchema.STRING)
2) Measurement range: IP address notation
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.5
Prefix
Indicator name: ip_measure:subnet_prefix
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1) Data type: String(XMLSchema.STRING)
2) Measurement range: IP address notation
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.5
5.3. Node Measurement
1) Name: node_measure
2) Mathematical Symbol: S_n
3) Measurement: S_n=summation(s*w)
4) Subjective weight of indicator: W_n=0.2
5.3.1. General Measurement
1) Name: nodecommon_measure
2) Mathematical Symbol: S_nc
3) Measurement: S_nc=summation(m*w)
4) Subjective weight of indicator: W_nc=0.5
Operating system
Indicator name: nodecommon_measure:os
1) Data type: String(XMLSchema.STRING)
2) Measurement range: windows,linux etc.,
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Username
Indicator name: nodecommon_measure:user
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required.
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3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Password
Indicator name: nodecommon_measure:structure
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required.
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Host Name
Indicator name: nodecommon_measure:host
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required.
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Gateway Address
Indicator name: nodecommon_measure:gateway
1) Data type: String(XMLSchema.STRING)
2) Measurement range: IP address notation
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
DNS Address
Indicator name: nodecommon_measure:dns
1) Data type: String(XMLSchema.STRING)
2) Measurement range: IP address notation
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3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
DHCP Address
Indicator name: nodecommon_measure:dhcp
1) Data type: String(XMLSchema.STRING)
2) Measurement range: IP address notation
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
5.3.2. Node performance measurement
1) Name: nodeperformance_measure
2) Mathematical Symbol: S_np
3) Measurement: S_np=summation(m*w)
4) Subjective weight of indicator: W_np=0.5
Backplane Bandwidth
Indicator name: nodeperformance _measure: backplane_bandwidth
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: Gbps
3) Normalization: Normalize by maximum
4) Subjective weight of indicator: w=0.2
Packet Forwarding Rate
Indicator name: nodeperformance _measure: forward_rates
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: Not Required.
3) Normalization: Normalize by maximum
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4) Subjective weight of indicator: w=0.1
Forwarding Delay
Indicator name: nodeperformance _measure: forward_delay
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: Not Required.
3) Normalization: Normalize by maximum, Reciprocal
4) Subjective weight of indicator: w=0.1
QoS Packet Forwarding Rate
Indicator name: nodeperformance _measure: qosforward_rate
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: Not Required.
3) Normalization: Normalize by maximum
4) Subjective weight of indicator: w=0.1
Transmission Delay
Indicator name: nodeperformance _measure: transfer_delay
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: Not Required.
3) Normalization: Normalize by maximum, Reciprocal
4) Subjective weight of indicator: w=0.1
Maximum Connections
Indicator name: nodeperformance _measure: connections_max
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0.
3) Normalization: Normalize by maximum
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4) Subjective weight of indicator: w=0.1
Maximum Bandwith
Indicator name: nodeperformance _measure: bandwidth_max
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0.
3) Normalization: Normalize by maximum
4) Subjective weight of indicator: w=0.1
Delay jitter
Indicator name: nodeperformance _measure: tolerated_jitter
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: Not Required.
3) Normalization: Normalize by maximum, Reciprocal
4) Subjective weight of indicator: w=0.1
Signal to Noise Ratio
Indicator name: nodeperformance _measure: snr
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: Not Required.
3) Normalization: Normalize by maximum
4) Subjective weight of indicator: w=0.1
5.4. Internet Service Measurement
1) Name: service_measure
2) Mathematical Symbol: S_s
3) Measurement: S_s=summation(s*w)
4) Subjective weight of indicator: W_s=0.2
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5.4.1. General Measurement
1) Name: servicecommon_measure
2) Mathematical Symbol: S_sc
3) Measurement: S_sc=summation(m*w)
4) Subjective weight of indicator: W_s=0.2
Domain
Indicator name: servicecommon_measure:domain
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required.
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Service Type
Indicator name: servicecommon_measure:type
1) Data type: String(XMLSchema.STRING)
2) Measurement range: ftp, http, p2p etc.,
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Service Address
Indicator name: servicecommon_measure:address
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required.
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Port
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Indicator name: servicecommon_measure:port
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: 1~216.
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Banner Information
Indicator name: servicecommon_measure:banner
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required.
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Transmission Protocol
Indicator name: servicecommon_measure:protocol
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required.
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
5.4.2. P2P Service Measurement
1) Name: servicep2p_measure
2) Mathematical Symbol: S_sp
3) Measurement: S_sp=summation(m*w)
4) Subjective weight of indicator: W_s=0.2
DHT
Indicator name: servicep2p_measure:dht
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1) Data type: Boolean(XMLSchema.BOOLEAN)
2) Measurement range: true, false
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.5
AICH
Indicator name: servicep2p_measure:aich
1) Data type: Boolean(XMLSchema.BOOLEAN)
2) Measurement range: true, false
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.5
5.4.3. P2P Service Measurement
1) Name: servicephttp_measure
2) Mathematical Symbol: S_sh
3) Measurement: S_sh=summation(m*w)
4) Subjective weight of indicator: W_s=0.2
Cookie
Indicator name: servicehttp_measure:cookie
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required.
3) Normalization: m=0, Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Request Type
Indicator name: servicehttp_measure:query_type
1) Data type: String(XMLSchema.STRING)
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2) Measurement range: get,post,put,delete
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Response Format
Indicator name: servicehttp_measure:reply_format
1) Data type: String(XMLSchema.STRING)
2) Measurement range: text/html;charset=UTF-8
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Expiration Time
Indicator name: servicehttp_measure: expiration_time
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0.
3) Normalization: m, Normalize by maximum, Reciprocal
4) Subjective weight of indicator: w=0.2
Keep Alive
Indicator name: servicep2p_measure:keep_alive
1) Data type: String(XMLSchema.STRING)
2) Measurement range: keep-alive(default),close
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
5.4.4. FTP Service Measurement
1) Name: servicepftp_measure
2) Mathematical Symbol: S_sf
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3) Measurement: S_sf=summation(m*w)
4) Subjective weight of indicator: W_s=0.2
Module
Indicator name: serviceftp_measure:mode
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Active, passive
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.3
Root Directory
Indicator name: serviceftp_measure: directory
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required.
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.4
Read and write permissions
Indicator name: serviceftp_measure: logi_rw
1) Data type: String(XMLSchema.STRING)
2) Measurement range: text/html;charset=UTF-8
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.4
5.4.5. VPN Service Measurement
1) Name: servicepvpn_measure
2) Mathematical Symbol: S_sv
3) Measurement: S_sv=summation(m*w)
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4) Subjective weight of indicator: W_s=0.2
GateWay
Indicator name: servicevpn_measure:gateway
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Active, passive
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Intranet Service
Indicator name: servicevpn_measure: intranet
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required.
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.3
Extrant Service
Indicator name: servicevpn_measure: extranet
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required.
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.3
5.5. Security Measurement
1) Name: secu_measure
2) Mathematical Symbol: S_se
3) Measurement: S_se=summation(s*w)
4) Subjective weight of indicator: W_se=0.2
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5.5.1. Encryption Measurement
1) Name: encryption_measure
2) Mathematical Symbol: S_in
3) Measurement: S_in=summation(m*w)
4) Subjective weight of indicator: W_in=0.1
Encryption Algorithm
Indicator name: encryption_measure:algorithm
1) Data type: String(XMLSchema.STRING)
2) Measurement range: DES, RSA, AES, IDEA, RC4/RC5
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.4
Encryption Mechanism
Indicator name: encryption_measure:mechanism
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Data transmission encryption mechanism
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Secret Key Length
Indicator name: encryption_measure:keylength
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: 64, 128, 256, 512, 1024, 2048
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.3
Secret Key Change Time
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Indicator name: encryption_measure:keychangetime
1) Data type: Date(XMLSchema.DATETIME)
2) Measurement range: GB/T 7408-1994 Standard
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.2
5.5.2. Authentication Measurement
1) Name: authen_measure
2) Mathematical Symbol: S_au
3) Measurement: S_au=summation(m*w)
4) Subjective weight of indicator: W_au=0.2
Authentication Mechanism
Indicator name: authen_measure:mechanism
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Password, certificate, bio, mix
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.3
Authentication Method
Indicator name: authen _measure:method
1) Data type: String(XMLSchema.STRING)
2) Measurement range: One-way, two-way
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Authentication Requirement
Indicator name: authen_measure:required
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1) Data type: String(XMLSchema.STRING)
2) Measurement range: USBKey, digital certificate, trusted module
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.3
Certification Type
Indicator name: authen_measure:certificatetype
1) Data type: String(XMLSchema.STRING)
2) Measurement range: X.509, LDAP
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Access Control Type
Indicator name: authen_measure:accesscontroltype
1) Data type: String(XMLSchema.STRING)
2) Measurement range: MAC, DAC, RBAC, ABAC, IBAC
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
5.5.3. Patch Measurement
1) Name: patch_measure
2) Mathematical Symbol: S_pa
3) Measurement: S_pa=summation(m*w)
4) Subjective weight of indicator: W_pa=0.2
Update Time
Indicator name: patch_measure:updatetime
1) Data type: Date(XMLSchema.DATETIME)
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2) Measurement range: GB/T 7408-1994 Standard
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Installation Time
Indicator name: installation_measure:time
1) Data type: Date(XMLSchema.DATETIME)
2) Measurement range: GB/T 7408-1994 Standard
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Installated Patch
Indicator name: patch _measure:installated
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.3
Not Installated Patch
Indicator name: patch _measure:not-installated
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.5
Source Address
Indicator name: patch_measure:patchaddr
1) Data type: String(XMLSchema.STRING)
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2) Measurement range: URL
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Update Mechanism
Indicator name: patch_measure:method
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Subscribe, push, offline
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
5.5.4. Vulnerability Measurement
1) Name: vulner_measure
2) Mathematical Symbol: S_vu
3) Measurement: S_vu=summation(m*w)
4) Subjective weight of measurement: W_vu=0.4
Vulnerability Categorization
Indicator name: vulner_measure:classifer
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Variable Override Command Execution Embedded
Malicious Code Weak Password Denial Service Database Discovery File
Upload Remote File Contains Local Overflow Permission Elevation
Information Leak Login Logon Directory Traversal Parsing Error
Override Access Cross-Site Script Path Leak Code Execute Remote
Password Buffer Overflow XQuery Injection Buffer Over Read LDAP
injection security mode bypasses backup files found XPath injection
URL redirect code leaks released after reuse DNS hijacking error
input validation generic cross-site scripting server side request
forged cross-domain vulnerability error certificate verification
etc,.
3) Normalization: m=0 , Not measured; m=1, Measured
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4) Subjective weight of indicator: w=0.15
ID
Indicator name: vulner_measure:id
1) Data type: String(XMLSchema.STRING)
2) Measurement range: 16-bit vulnerability identifier
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Name
Indicator name: vulner_measure:name
1) Data type: String(XMLSchema.STRING)
2) Measurement range: CVE,NVD
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Risk Level
Indicator name: vulner_measure:level
1) Data type: String(XMLSchema.STRING)
2) Measurement range: High Medium Low Null
3) Normalization: Free Risk, m=0; Low Risk, m=0.3; Medium Risk=0.5;
High Risk, m=1
4) Subjective weight of indicator: w=0.3
Availability
Indicator name: vulner_measure:availability
1) Data type: String(XMLSchema.STRING)
2) Measurement range: true, or false
3) Normalization: Not available, m=0; Availability, m=1
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4) Subjective weight of indicator: w=0.35
5.5.5. Host Security Measurement
1) Name: hostsecu_measure
2) Mathematical Symbol: S_ho
3) Measurement: S_ho=summation(m*w)
4) Subjective weight of indicator: W_ho=0.1
Policy Level
Indicator name: hostsecu_measure:policylevel
1) Data type: String(XMLSchema.STRING)
2) Measurement range: High Medium Low
3) Normalization: Low level, m=0.3; Medium level, m=0.5; High level,
m=1
4) Subjective weight of indicator: w=0.3
Security Audit
Indicator name: hostsecu_measure:audittype
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Traffic, protocol, behavior
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Security Administration Port
Indicator name: hostsecu_measure:adminport
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: 0-65535
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.5
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Administration Type
Indicator name: hostsecu_measure:admintype
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Administration Method
Indicator name: hostsecu_measure:adminmethod
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Peer-to-peer, cascade, autonomous
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Host monitoring
Indicator name: hostsecu_measure:monitortype
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Null, behavior, network, all
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
5.6. Transmission Measurement
1) Name: trans_measure
2) Mathematical Symbol: S_tr
3) Measurement: S_tr=summation(s*w)
4) Subjective weight of indicator: W_tr=0.1
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5.6.1. Information Measurement
1) Name: info_measure
2) Mathematical Symbol: S_in
3) Measurement: S_in=summation(m*w)
4) Subjective weight of indicator:W_in=0.2
Signal coding
Indicator name: info_measure:channelcoding
1) Data type: String(XMLSchema.STRING)
2) Measurement range: RS code, convolutional code, Turbo code,
pseudo-random sequence code
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Information Entropy
Indicator name: geo_measure:country
1) Data type: String(XMLSchema.STRING)
2) Measurement range: RS code, convolutional code, Turbo code,
pseudo-random sequence code
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.8
5.6.2. Wireless Measurement
1) Name: wifi_measure
2) Mathematical Symbol: S_wi
3) Measurement: S_wi=summation(m*w)
4) Subjective weight of indicator: W_wi=0.2
Wireless Protocol
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Indicator name: wifi_measure:protocol
1) Data type: String(XMLSchema.STRING)
2) Measurement range: IEEE 802.11a,IEEE 802.11b,IEEE 802.11g and IEEE
802.11e
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Transmission standard
Indicator name: wifi_measure:transmissionstandard
1) Data type: String(XMLSchema.STRING)
2) Measurement range: IEEE 802.11a,IEEE 802.11b,IEEE 802.11g and IEEE
802.11e
3) Normalization: m=0, Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Working Frequency
Indicator name: wifi_measure:frequencybands
1) Data type: String(XMLSchema.STRING)
2) Measurement range: , e.g., 900MHz, 2.4, 3.6, 6, 60GHz
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Modulation
Indicator name: wifi_measure:modulation
1) Data type: String(XMLSchema.STRING)
2) Measurement range: BPSK, DQPSK, GFSK
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
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Wireless Transmission Rate
Indicator name: wifi_measure:datarate
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.3
Channel Bandwidth
Indicator name: wifi_measure:channelbandwidth
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: 20MHz, 40MHz
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Network Standard
Indicator name: wifi_measure:channelaccessmethod
1) Data type: String(XMLSchema.STRING)
2) Measurement range: GSM,CDMA,3G,4G
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Frame Rate
Indicator name: wifi_measure:channelaccessmethod
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.2
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Delay Expansion
Indicator name: wifi_measure:delayexpansion
1) Data type: String(XMLSchema.STRING)
2) Measurement range: >0
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
6. Measurement of Virtual Cyberspace Resources
6.1. Virtual Subject Measurement
1) Name: virtual_measure
2) Mathematical Symbol: S_vi
3) Measurement: S_vi=summation(s*w)
4) Subjective weight of indicator:W_vi=0.1
6.1.1. Account Measurement
1) Name: account_measure
2) Mathematical Symbol: S_ac
3) Measurement: S_ac=summation(s*w)
4) Subjective weight of indicator: W_ac=0.45
6.1.1.1. Email Address
1) Name: email_measure
2) Mathematical Symbol: S_em
3) Measurement: S_em=summation(s*w)
4) Subjective weight of indicator: W_em=0.2
Contacts
Indicator name: email_measure:contact
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1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.4
Inbox
Indicator name: email_measure:receivenum
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.2
Sent
Indicator name: email_measure:sendnum
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.2
Sent Time
Indicator name: email_measure:sendtime
1) Data type: Date(XMLSchema.DATETIME)
2) Measurement range: GB/T 7408-1994 Standard
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Received Time
Indicator name: email_measure:receivetime
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1) Data type: Date(XMLSchema.DATETIME)
2) Measurement range: GB/T 7408-1994 Standard
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
6.1.1.2. Social Account
1) Name: weibo_measure
2) Mathematical Symbol: S_we
3) Measurement: S_we=summation(s*w)
4) Subjective weight of indicator: W_we=0.2
Tweets
Indicator name: weibo_measure:num
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.1
Original Tweets
Indicator name: weibo_measure:original
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: Percentage
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.1
Following
Indicator name: weibo_measure:concerns
1) Data type: Integer(XMLSchema.INT)
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2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.1
Follower
Indicator name: weibo_measure:fans
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.1
Text Preference
Indicator name: weibo_measure: textpreference
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Chinese, English, Tibetan, Muslim, and Uighur
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Activity
Indicator name: weibo_measure:dynamicnum
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.1
Comments
Indicator name: weibo_measure:comment
1) Data type: Integer(XMLSchema.INT)
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2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.1
Likes
Indicator name: weibo_measure:praisenum
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.1
Repost
Indicator name: weibo_measure:forwardnum
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.1
6.1.1.3. Shopping Account
1) Name: shop_measure
2) Mathematical Symbol: S_sh
3) Measurement: S_sh=summation(s*w)
4) Subjective weight of indicator: W_sh=0.1
Shopping Preference
Indicator name: shop_measure:forwardnum
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Commodity categories
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3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Shopping Platform
Indicator name: shop_measure:platform
1) Data type: String(XMLSchema.STRING)
2) Measurement range: JD, TaoBao, Amazon etc.,
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Shopping Expenses
Indicator name: shop_measure:cost
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.1
Payment Password
Indicator name: shop_measure:paypassword
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.3
Credit History
Indicator name: shop_measure:creditrecord
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
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3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Shopping Time
Indicator name: shop_measure:time
1) Data type: Date(XMLSchema.DATETIME)
2) Measurement range: GB/T 7408-1994 Standard
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
6.1.1.4. Game Account
1) Name: game_measure
2) Mathematical Symbol: S_ga
3) Measurement: S_ga=summation(s*w)
4) Subjective weight of indicator: W_ga=0.05
Role Level
Indicator name: game_measure:roleranking
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Wealth
Indicator name: game_measure:wealth
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: >0
3) Normalization: m=0 , Not measured; m=1, Measured
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4) Subjective weight of indicator: w=0.1
Experience
Indicator name: game_measure:experience
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Fans
Indicator name: game_measure:fans
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Items
Indicator name: game_measure:prop
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Payment Password
Indicator name: game_measure:paypassword
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
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4) Subjective weight of indicator: w=0.2
Text Preference
Indicator name: game_measure:textpreference
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Chinese, English, Tibetan, Muslim, and Uighur
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Role Play
Indicator name: game_measure:role
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Comments
Indicator name: game_measure:comment
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.1
Ban Record
Indicator name: game_measure:prohibition
1) Data type: String(XMLSchema.STRING)
2) Measurement range: >0
3) Normalization: m=0 , Not measured; m=1, Measured
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4) Subjective weight of indicator: w=0.1
Recharging Amount
Indicator name: game_measure:recharge
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: >0
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
6.1.1.5. Cloud Account
1) Name: cloudfile_measure
2) Mathematical Symbol: S_cl
3) Measurement: S_cl=summation(s*w)
4) Subjective weight of measurement: W_cl=0.1
Downloads
Indicator name: cloudfile_measure:downloadnum
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.3
Download Type
Indicator name: cloudfile_measure:downloadtype
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
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Uploads
Indicator name: cloudfile_measure:upload num
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: >0
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.3
Upload Type
Indicator name: cloudfile_measure:uploadtype
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Shared Resource
Indicator name: cloudfile_measure:share
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
6.1.1.6. Financial Account
1) Name: financial_measure
2) Mathematical Symbol: S_fi
3) Measurement: S_fi=summation(s*w)
4) Subjective weight of indicator: W_fi=0.1
Purchased Products
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Indicator name: financial_measure:product
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Investment Amount
Indicator name: financial_measure:product
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.2
Risk Assessment
Indicator name: financial_measure:risk
1) Data type: String(XMLSchema.STRING)
2) Measurement range: High Medium Low
3) Normalization: High, m=; Medium, m=0.5; Low, m=0.1
4) Subjective weight of indicator: w=0.2
Payment Password
Indicator name: financial_measure:paypassword
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Earnings
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Indicator name: financial_measure:earnings
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: >0
3) Normalization: m, Normalize by maximum
4) Subjective weight of indicator: w=0.2
6.1.2. General Measurement
1) Name: general_measure
2) Mathematical Symbol: S_ge
3) Measurement: S_ge=summation(s*w)
4) Subjective weight of indicator: W_ge=0.35
Indicator name: general_measure:id
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Virtual Subject Password
Indicator name: general_measure:password
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Virtual Subject Location
Indicator name: general_measure:place
1) Data type: String(XMLSchema.STRING)
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2) Measurement range: GB/T 2659-2000 Standard
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Virtual Subject Online Time
Indicator name: general_measure:onlinetime
1) Data type: Date(XMLSchema.DATETIME)
2) Measurement range: GB/T 7408-1994 Standard
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Virtual Subject Registered Date
Indicator name: general_measure:registeddate
1) Data type: Date(XMLSchema.DATETIME)
2) Measurement range: GB/T 7408-1994 Standard
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Virtual Subject Name
Indicator name: general_measure:name
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Virtual Subject Type
Indicator name: general_measure:type
1) Data type: String(XMLSchema.STRING)
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2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Virtual Subject Functionality
Indicator name: general_measure:function
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Virtual Subject Activity
Indicator name: general_measure:activity
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Virtual Subject Platform
Indicator name: general_measure:platform
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Virtual Subject Visit Preference
Indicator name: general_measure:preference
1) Data type: String(XMLSchema.STRING)
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2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Search Key words
Indicator name: general_measure:keyword
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
6.1.3. Group Measurement
1) Name: group_measure
2) Mathematical Symbol: S_gr
3) Measurement: S_gr=summation(s*w)
4) Subjective weight of indicator: W_gr=0.2
Group Name
Indicator name: group_measure:name
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Group ID
Indicator name: group_measure:id
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
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3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Online Gathering Place
Indicator name: group_measure:place
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Contact Frequency
Indicator name: group_measure:frequency
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
Opinion Leader
Indicator name: group_measure:leader
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
6.2. Mapping Entity Measurement
a)The categories and codes of the categories of resources,
subclasses, major classes, and intermediates listed in Appendix A
should not be expanded; medium and small classes can be expanded with
the evolution of cyberspace resources; Subdivide subclasses, but the
code length cannot be expanded.
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b)Subdivided subclasses should be classified into corresponding
subclasses and have the uniqueness of upward recursion.
c)The code of the expanded feature class shall be unique and shall
not be duplicated with existing code.
6.2.1. General Measurement
1) Name: general_measure
2) Mathematical Symbol: S_ge
3) Measurement: S_ge=summation(s*w)
4) Subjective weight of indicator: W_ge=0.35
Entity Name
Indicator name: general_measure:entityname
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Entity Gender
Indicator name: general_measure:entitysex
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Male, Female
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Entity License
Indicator name: general_measure:entitysex
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
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3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Entity Profession
Indicator name: general_measure:entityprofession
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Entity Social Level
Indicator name: general_measure:sociallevel
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Entity Age
Indicator name: general_measure:entityage
1) Data type: Integer(XMLSchema.INT)
2) Measurement range: 0~150
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Entity Nationality
Indicator name: general_measure:entitynationality
1) Data type: String(XMLSchema.STRING)
2) Measurement range: GB/T 2659-2000 Standard
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3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Entity Language
Indicator name: general_measure:entitylanguage
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Chinese, English, etc.,
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Entity Accent
Indicator name: general_measure:entityaccent
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Entity Posture
Indicator name: general_measure:entityposture
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Entity Geographic Location
Indicator name: general_measure:entityplace
1) Data type: String(XMLSchema.STRING)
2) Measurement range: GB/T 2659-2000 Standard
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3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Entity Marriage
Indicator name: general_measure:entitymarry
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Married, unmarried, divorced
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
Entity Education
Indicator name: general_measure:entityeducation
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.05
6.2.2. Group Measurement
1) Name: group_measure
2) Mathematical Symbol: S_gr
3) Measurement: S_gr=summation(s*w)
4) Subjective weight of indicator: W_gr=0.2
Offline Activity
Indicator name: group_measure:activity
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
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4) Subjective weight of indicator: w=0.1
Offline Gathering Place
Indicator name: group_measure:place
1) Data type: String(XMLSchema.STRING)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.1
Offline Contact Frequency
Indicator name: group_measure:frequency
1) Data type: Float(XMLSchema.FLOAT)
2) Measurement range: Not Required
3) Normalization: m=0 , Not measured; m=1, Measured
4) Subjective weight of indicator: w=0.2
7. Acknowledgements
With gratitude, the authors would like to thank the support,
encouragement, and help of China Electronic Technology Group
Corporation thirtieth Research institute and Tsinghua.University.
And we thanks to the following persons: Jilong Wang, Congcong Miao,
Yujin Zhou,Jiang Zhang, Hui Yang, devoted their hardworking and
effort.
8. IANA Considerations
This memo includes no request to IANA.
9. Security Considerations
This document only defines a framework for network resource property
description. This document itself does not directly introduce
security issues.
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10. Normative References
[RFC2119] Bradner, S., "Key words for use in RFCs to Indicate
Requirement Levels", RFC 2119, March 1997.
[RFC2396] Berners-Lee, T., "Uniform Resource Identifiers (URI):
Generic Syntax", RFC 2396, August 1998.
[RFC3688] Mealling, M., "The IETF XML Registry", RFC 3688, January
2004.
[RFC3870] Swartz, A., "Application/rdf+xml Media Type Registration",
RFC 3870, September 2004.
Authors' Addresses
Jianfeng Chen (editor)
CETC 30
Chengdu 610000
China
Email: atrix@163.com
Zhi Sun (editor)
CETC 30
Chengdu 610000
China
Email: sunzhi1019@163.com
Da He (editor)
CETC 30
Chengdu 610000
China
Email: edawrdheda@outlook.com
Rui Xu (editor)
CETC 30
Chengdu 610000
China
Email: jasmine_x@163.com
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Jilong Wang (editor)
Tsinghua University
Beijing 100084
China
Email: wjl@tsinghua.edu.cn
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