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Risk Assessment Of Attack-Induced Cascade In Complex Networks

Author

Listed:
  • ZHE-JING BAO

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • WEN-JUN YAN

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • CHUANG-XIN GUO

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

For the complex networks, including scale-free, small-world, local-world and random networks, the global quantitative evaluation of attack-induced cascade is investigated in this paper by introducing the risk assessment, which integrates the probability of occurrence with the damage size of attacks on nodes. It is discovered by simulations, among the several kinds of networks, that the small-world network has the largest risk assessment of attack-induced cascade; the risk assessment of three other networks are all very low and the most protection against attack should be given to the small-world network accordingly. Furthermore, the percentage of the most fragile nodes in the scale-free network is very low, compared with that in the small-world network.

Suggested Citation

  • Zhe-Jing Bao & Wen-Jun Yan & Chuang-Xin Guo, 2011. "Risk Assessment Of Attack-Induced Cascade In Complex Networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 22(08), pages 765-773.
    • Handle: RePEc:wsi:ijmpcx:v:22:y:2011:i:08:n:s0129183111016579
    DOI: 10.1142/S0129183111016579
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