A jackson network-based model for quantitative analysis of network security

Authors:
Zhengtao Xiang;Yufeng Chen;Wei Jian;Fei Yan
Affiliations:
Computer Center, Hubei Automotive Industrial Institute, Shiyan, Hubei, P. R. China;College of Computer Science and Technology, Zhejiang University, Hangzhou, P. R. China;Deparment of R & D, Hubei Automotive Industrial Institute, Shiyan, Hubei, P. R. China;Computer Center, Hubei Automotive Industrial Institute, Shiyan, Hubei, P. R. China
Venue:
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Year:
2005

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Abstract

It is important for trusted intranets to focus on network security as a whole with dynamic and formalized analysis. The qualitative and current quantitative methods have difficulties to reach the requirements. After analyzing the attacking process, a Jackson network-based model with absorbing states is proposed, where the absorbing states mean the attacks succeed or fail. We compute the steady-state joint probability distribution of network nodes, the mean time of attack data spent in network, and the probabilities from the network entry node to absorbing states. According to the analysis of the above measures, we analyze the relationship between network security and performance.