Title: Gray-information-based robustness of interdependent networks under attack on edges

Authors: Dan Cui; Jianguo Chen

Addresses: Department of Management Science and Engineering, Tongji University, Shanghai 200092, China ' Department of Management Science and Engineering, Tongji University, Shanghai 200092, China

Abstract: The researches on robustness of interconnected networks have received more and more attention. However, previous studies of robustness are based on two extreme attack strategies, i.e. random attack and targeted attack. In the real world, the attack information is usually ambiguous. In this paper, the gray-information-based attack model is adopted to evaluate the robustness of the interdependent networks against the attack on edges. Through extensive simulation, we find that the robustness of the interdependent networks under gray-information-based attack gets stronger with the increase of redundancy parameter β. We also get the conclusion that the robustness of the interdependent network in the scenarios of gray-information-based attack is stronger than that of targeted attack and weaker than that of random attack. Finally, by comparison of three types of coupled networks, NW-NW and WS-WS coupled network are found to be the most robust type under gray-information attack.

Keywords: gray information; interdependent network; robustness; cascading failures.

DOI: 10.1504/IJWMC.2018.097159

International Journal of Wireless and Mobile Computing, 2018 Vol.15 No.4, pp.366 - 373

Received: 06 Feb 2018
Accepted: 21 Aug 2018

Published online: 26 Dec 2018 *

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