Team Cooperative Attack Planning Based on Multi-agent Joint Decision

Automated penetration testing can greatly reduce the cost of penetration testing by automating the process of manually finding possible attack paths.Existing methods mainly use a single agent to perform attack tasks, which leads to long execution of attack actions and low penetration efficiency.If m...

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Bibliographic Details
Published inJi suan ji ke xue Vol. 48; no. 5; p. 301
Main Authors Zhou, Tian-Yang, Zeng, Zi-Yi, Zang, Yi-Chao, Wang, Qing-Xian
Format Journal Article
LanguageChinese
Published Chongqing Guojia Kexue Jishu Bu 01.01.2021
Subjects
Algorithms
Automation
Decision making
Mathematical analysis
Matrix methods
Multiagent systems
Operations research
Path planning
Penetration
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Summary:Automated penetration testing can greatly reduce the cost of penetration testing by automating the process of manually finding possible attack paths.Existing methods mainly use a single agent to perform attack tasks, which leads to long execution of attack actions and low penetration efficiency.If multi-agent cooperative attack is considered, the state space scale of planning problem will grow exponentially due to the multi-dimensional local state of each agent.Aiming at the above problems, a team cooperative attack planning method based on multi-agent jointdecision is proposed.Firstly, the multi-agent cooperative attack path planning problem is transformed into the attack target assignment problem under the jointdecision constraints, and the multi-agent centralized decision-making mode is established.Secondly, the joint decision vector matrix JDVM is used to calculate the penetration attack reward based on the CDSO-CAP model, and the greedy strategy is used to search the optimal target of attack.The experime
ISSN:1002-137X