A Novel Method of Network Security Situation Assessment Based on Evidential Network

科研成果: 书/报告/会议事项章节会议稿件同行评审

7 引用 (Scopus)

摘要

Network security situation awareness is a new type of network security technology. It evaluates the network security situation in real time from a macro perspective. Also it can predict the trend of the development of the network security situation, providing a basis for the decision analysis of administrators. It is difficult to obtain complete and accurate information in network security situation assessment by using evidential network. So we introduce an evidential network based on Bayesian network to solve that problem. Firstly, transform the parent node information and inference rules into plausibility function so as to be compatible with imperfect and inaccurate information. Secondly, we use the full probability formula of Bayesian network as reference to make similar reasoning under the framework of evidence theory. Then transform the inference result to BPA form by using the minimum specificity algorithm, and obtain the final result by projection. Finally, an example of network security situation assessment is given to illustrate the rationality and effectiveness of the method.

源语言英语
主期刊名Machine Learning for Cyber Security - Third International Conference, ML4CS 2020, Proceedings
编辑Xiaofeng Chen, Hongyang Yan, Qiben Yan, Xiangliang Zhang
出版商Springer Science and Business Media Deutschland GmbH
530-539
页数10
ISBN(印刷版)9783030622220
DOI
出版状态已出版 - 2020
活动3rd International Conference on Machine Learning for Cyber Security, ML4CS 2020 - Guangzhou, 中国
期限: 8 10月 202010 10月 2020

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12486 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议3rd International Conference on Machine Learning for Cyber Security, ML4CS 2020
国家/地区中国
Guangzhou
时期8/10/2010/10/20

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