A Novel Network Survivability Analysis and Evaluation Model
- 10.2991/isccca.2013.194How to use a DOI?
- network survivability, evolutionary game model, network threat analysis, survivability evaluation model, immune evolution, multiple criteria decision making
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.
- © 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/).
Cite this article
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 -