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Coupled spreading processes on interdependent networks are studied, where thespreading infection of diseases or malware in one layer can trigger cascadingfailures in another layer and lead to secondary disasters, e.g., disruptingpublic services, supply chains, or power distribution. We utilize the dynamicmessage-passing method to devise efficient algorithms for inferring the systemstates, which allows one to investigate systematically the nature of suchcomplex intertwined spreading processes and evaluate their impact. Based on thedynamic message-passing framework and optimal control, we further develop aneffective optimization algorithm for mitigating network failures.

Infection-induced Cascading Failures -- Impact and Mitigation