Evaluation for Survivable Networked System Based on Grey Correlation and Improved TOPSIS

نویسندگان

  • Chengli Zhao
  • Yanheng Liu
  • Zhiheng Yu
چکیده

Survivability has been one of the active fields in network security recently. In order to evaluate the survivability of networked system effectively, this paper proposes a method of combining grey correlation analysis and improved TOPSIS for quantitative assessment. Firstly, it normalizes indicator matrix according to improved TOPSIS method and determines the positive and negative ideal solutions. Secondly, it calculates correlation degree of every essential service in terms of grey correlation analysis, according to which with weight matrix, it gets the optimal dependency degree. Then it evaluates the whole survivability of networked system depending on the survivable function. At last the simulation and experimental results show the method is reasonable and effective.

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عنوان ژورنال:
  • JNW

دوره 6  شماره 

صفحات  -

تاریخ انتشار 2011