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

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.