A Novel Network Survivability Analysis and Evaluation Model

DOI

10.2991/isccca.2013.194How to use a DOI?

Keywords

network survivability, evolutionary game model, network threat analysis, survivability evaluation model, immune evolution, multiple criteria decision making

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chunlei Wang
AU  - Dongxia Wang
AU  - Qing Miao
AU  - Liang Ming
AU  - Lan Fang
AU  - Yiqi Dai
PY  - 2013/02
DA  - 2013/02
TI  - A Novel Network Survivability Analysis and Evaluation Model
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 772
EP  - 776
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.194
DO  - 10.2991/isccca.2013.194
ID  - Wang2013/02
ER  -