Dynamic Coupling Strategy for Interdependent Network Systems Against Cascading Failures

In networked systems, initial failures at only a small part of the network may trigger sequential failure process called cascading failures, which eventually lead to breakdown entire system. This vulnerability is further exacerbated in modern systems that consist multiple networks, each carrying flow or load, are xmlns:xlink="http://www.w3.org/1999/xlink">interdependent ; e.g., smart-grid, transportation etc. this paper, we study robustness such against under flow-redistribution-based model where from failed node gets redistributed nodes within same and other networks interdependent with one took place. xmlns:xlink="http://www.w3.org/1999/xlink">coupling coefficients between determine portion will distributed internally vs. externally key determining robustness. Here, investigate progress two-networked system derive expressions help characterize xmlns:xlink="http://www.w3.org/1999/xlink">final fraction surviving both as function coupling coefficients. Then, develop new xmlns:xlink="http://www.w3.org/1999/xlink">dynamic coefficient strategy adjusts these parameters during improve We show our step-wise optimization (SWO) significantly improves compared prior work mainly focus on static shown through extensive simulations different topologies attack types.