Abstract
Interdependent networks can practically model several complex systems. In such networks, particularly critical infrastructure networks, cascading failure is the most common phenomenon observed, and hence, has gradually become a prevalent research topic in recent years. We combine statistical methods to build a cascading failure propagation model based on discrete dynamical systems. Based on a discrete-time model, a failure pattern is proposed wherein the units in a system continuously fail due to cascading events or malevolent attacks. Then, we analyze the model in combination with practical scenarios.
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