Multiple-Attribute Decision Making-based Optimization of Robustness against Cascading Failures in Interdependent network

The existence of functional interation between coupled layers in multiple systems makes interdependent networks more vulnerable to cascading failures. To mitigate cascade propagation, prior researches focus on node or link protection with simplex and familiar centrality, leading to the neglected impact of different centrality on the decision to protected node selection. In this paper, we tackle the node protection problem from resource-oriented approach. Firstly, we regard various node importance centrality as multiple criteria, and propose a novel multiple-attribute decision making-based node protection strategy to choose which node is needed for protection. The automatic updating function of judgment matrix is realized. Furthermore, we apply five heuristic resource allocation methods with proposed strategy to optimize the robustness of interdependent networks. Simulation results perform the allocation pattern for the protected node with our strategy and validate its effectiveness.