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Mobile node vulnerability discrimination method by using reliability vector projection decomposition

A mobile node and reliability technology, applied in digital transmission systems, electrical components, transmission systems, etc., to reduce computational complexity, improve accuracy, and avoid the effects of uncertain factors

Inactive Publication Date: 2012-03-28
李千目
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Problems solved by technology

The main reason is that there are many vulnerabilities in network mobile nodes

Method used

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  • Mobile node vulnerability discrimination method by using reliability vector projection decomposition
  • Mobile node vulnerability discrimination method by using reliability vector projection decomposition
  • Mobile node vulnerability discrimination method by using reliability vector projection decomposition

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Embodiment Construction

[0020] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0021] like figure 1 As shown, a mobile node vulnerability identification method based on belief vector projection decomposition:

[0022] The first step is to determine the reliability vector space according to the multi-source vulnerability information: that is, use t kinds of vulnerability scanning tools to scan the same mobile node at the same time, and combine the result sets scanned by each tool as the reliability vector space, Denote as Ω={X 1 , X 2 ,Λ,X n}, where X is a vulnerability, and n is the total number of vulnerabilities scanned;

[0023] The second step is to calculate the reliability value of the scanning results of each vulnerability scanning tool: the accuracy rate of each scanning tool is normalized as its reliability value, which is recorded as m i , i=1, 2, Λ, t, i represents the i-th scanning tool;

[0024] The third step i...

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Abstract

The invention provides a mobile node vulnerability discrimination method by using reliability vector projection decomposition. The method comprises the following steps: (1) determining reliability vector space according to multi-source vulnerability information; (2) calculating a reliability value of each vulnerability scan tool scan result; (3) calculating each reliability vector and a cosine value of each reference axis included angle in the reliability vector space; (4) calculating a projection decomposition value of each reference axis in each reliability vector to the reliability vector space; (5) accumulating obtained projection values on reference axes to obtain a sum, and carrying out normalization; (6) determining reliability of each vulnerability, and according to a reliability size, determining vulnerability existed in the mobile node. Compared with the prior art, the method in the invention has the following substantial advantages: based on a reliability theory, influence of an uncertainty factor in a vulnerability detection process is effectively avoided; by taking a plurality of detection tools as information source, accuracy of vulnerability discrimination is raised; by employing a calculation method of reliability vector projection decomposition, each decomposed vector is converted into a monoatomic set, and calculation complexity is decreased.

Description

technical field [0001] The invention relates to mobile node vulnerability discrimination technology, in particular to a mobile node vulnerability discrimination method based on reliability vector projection decomposition. Background technique [0002] At present, with the rapid development of network technology and the continuous increase of network scale, there are more and more security incidents related to the network, such as attacks and intrusions. The main reason is that there are various loopholes in network mobile nodes. As an active security detection, mobile node vulnerability identification ensures the security of the network system to the greatest extent by detecting the vulnerability and weak links of each node in the network system. [0003] At present, mobile node vulnerability identification methods mainly focus on two aspects: one is to establish a good security model; the other is to quantitatively evaluate the vulnerability of nodes. [0004] In terms of...

Claims

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Application Information

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IPC IPC(8): H04L29/06H04L12/26
Inventor 李千目戚湧刘刚侯君
Owner 李千目
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