| opsawg | CJF. Chen, Ed. |
| Internet-Draft | SZ. Sun, Ed. |
| Intended status: Informational | HD. He, Ed. |
| Expires: March 27, 2020 | XR. Xu, Ed. |
| CETC 30 | |
| WJL. Wang, Ed. | |
| Tsinghua University | |
| September 24, 2019 |
Cyberspace Resources Measurement
draft-jilongwang-opsawg-cyberresource-measurement-00
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.
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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 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.
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
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.
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.
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
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 selection, and according to this standard, the following principles should be followed.
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.
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.
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.
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.
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.
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.
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.
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 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.
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
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
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
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
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
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)
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)
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)
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
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
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
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
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
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
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
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
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
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
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
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
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.
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
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
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
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
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
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
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
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
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
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
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)
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
1) Name: servicepftp_measure
2) Mathematical Symbol: S_sf
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
1) Name: servicepvpn_measure
2) Mathematical Symbol: S_sv
3) Measurement: S_sv=summation(m*w)
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
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
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
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
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
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
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)
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)
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
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
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
4) Subjective weight of indicator: w=0.35
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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)
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
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)
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)
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
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
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
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.
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.
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
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
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
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
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
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
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.
This memo includes no request to IANA.
This document only defines a framework for network resource property description. This document itself does not directly introduce security issues.
| [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. |