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

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

Physica A: Statistical Mechanics and its Applications, 2017, vol. 482, issue C, 713-727

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.

Keywords: Complex networks; Robustness; Percolation; Random attacks; Dependent attacks; Adaptive attacks; Cyber security (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:482:y:2017:i:c:p:713-727

DOI: 10.1016/j.physa.2017.04.078

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