A Novel Network Survivability Analysis and Evaluation Model

Author:

Wang Chun Lei1,Wang Dong Xia2,Miao Qing2,Ming Liang2,Fang Lan2,Dai Yi Qi1

Affiliation:

1. Tsinghua University

2. Nation Key Laboratory of Science and Technology on Information System Security

Abstract

Network survivability has the characteristics of complexity, dynamic evolution and uncertainty, which has become one of the most important factors for analyzing and evaluating network performance. Network survivability analysis and evaluation is a process of analyzing and quantifying the degree to which network system can survive in network threats. This paper proposes a novel network survivability analysis and evaluation model.Firstly, network survivability is abstracted as a dynamic game process among network attacker, network defender and normal user, thereafter network survivability evolutionary game model is established and network survivability analysis algorithm is proposed based on the game model. Secondly, the survivability characteristics of the network can be measured and evaluated based on the analyzed information based on the proposed immune evolutionary algorithm for network survivability metric weight solving and network survivability evaluation method using multiple criteria decision making. Finally, the proposed network survivability analysis and evaluation model is experimented in a typical network environment and the correctness and effectiveness of the model is validated through experimental analysis.

Publisher

Trans Tech Publications, Ltd.

Reference16 articles.

1. John C. Knight, Kevin J. Sullivan. On the Definition of Survivability. University of Virginia, Department of Computer Science, Technical Report CS-TR-33-00.

2. Fisher J, Linger R. Survivability: protecting your critical systems[J]. IEEE Journal of Internet Compu¬ting, 1999, 3(6): 55~63.

3. Louca Soulla, Pitsillides Andreas, Samaras George. On Network Survivability Algorithms Based on Trellis Graph Transformations[C]. The Fourth IEEE Symposium on Computers and Communica¬tions(ISCC'99), Red Sea, Egypt, 1999: 235-243.

4. Krings Axel W, Azadmanesh M H. A Graph Based Model for Survivability Analysis[R]. Technical Report UI-CS-TR-02-024, Computer Science Department, University of Idaho, (2002).

5. Zolfaghari Ali, Kaudel Fred J. Framework for Network Survivability Performance[J]. IEEE Journal on¬Seleeted Areas in Communications, 1994, 12(1): 46-51.

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