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Robustness of non-interdependent and interdependent networks against dependent and adaptive attacks

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  • Tyra, Adam
  • Li, Jingtao
  • Shang, Yilun
  • Jiang, Shuo
  • Zhao, Yanjun
  • Xu, Shouhuai

Abstract

Robustness of complex networks has been extensively studied via the notion of site percolation, which typically models independent and non-adaptive attacks (or disruptions). However, real-life attacks are often dependent and/or adaptive. This motivates us to characterize the robustness of complex networks, including non-interdependent and interdependent ones, against dependent and adaptive attacks. For this purpose, dependent attacks are accommodated by L-hop percolation where the nodes within some L-hop (L≥0) distance of a chosen node are all deleted during one attack (with L=0 degenerating to site percolation). Whereas, adaptive attacks are launched by attackers who can make node-selection decisions based on the network state in the beginning of each attack. The resulting characterization enriches the body of knowledge with new insights, such as: (i) the Achilles’ Heel phenomenon is only valid for independent attacks, but not for dependent attacks; (ii) powerful attack strategies (e.g., targeted attacks and dependent attacks, dependent attacks and adaptive attacks) are not compatible and cannot help the attacker when used collectively. Our results shed some light on the design of robust complex networks.

Suggested Citation

  • Tyra, Adam & Li, Jingtao & Shang, Yilun & Jiang, Shuo & Zhao, Yanjun & Xu, Shouhuai, 2017. "Robustness of non-interdependent and interdependent networks against dependent and adaptive attacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 713-727.
    • Handle: RePEc:eee:phsmap:v:482:y:2017:i:c:p:713-727
    DOI: 10.1016/j.physa.2017.04.078
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    References listed on IDEAS

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