A Novel Quantitative Analysis Method for Network Survivability

  • Authors:
  • Guosheng Zhao;Huiqiang Wang;Jian Wang

  • Affiliations:
  • Harbin Engineering University, China;Harbine Engineering University, China;Harbin Engineering University, China

  • Venue:
  • IMSCCS '06 Proceedings of the First International Multi-Symposiums on Computer and Computational Sciences - Volume 2 (IMSCCS'06) - Volume 02
  • Year:
  • 2006

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Abstract

Through analyzing the changes of key services' performance index value before and after evaluation, this paper proposed a novel quantitative analysis method for network survivability based on grey relational analysis. Starting with the normalization of decision matrix with interval number, the proposed method firstly applied grey relational analysis to assess the best affiliate degree and survival probability of every key service. Then, it analyzed the changes of every key service's survivability based on network entropy difference. Finally, it obtained the synthetical analysis for the whole network survivability. Simulation experiments show the proposed method is feasible and effective in the analysis of the actual network survivability.