Multi Level interdependencies Management for resilience in Critical Infrastructures

Modeling resilience of interdependent critical infrastructure is recently an important task in literature researches. The guard of these critical infrastructures (CI) is fundamental for the efficient functioning of society in particular and nations in general. The CI is composed of several entities that have highly interconnected and collaborated with other organizations to accomplish services according to mutual interdependencies and interconnections. These interdependencies reinforce the systems to be more resilient in case of vulnerabilities and failures. In this sense, sophisticated management is required to improve the protection of these infrastructures and ensure their safety, and continuous operation in cases of failures and disruptions of services. In this paper, we propose a new approach of resilience to manage disruptions and failures in critical infrastructure using multi-level interdependencies. The aim of this paper is threefold: first, we propose a road map for modeling multilevel interdependencies. Second, we introduce a new paradigm of nodes classification using a convolutional neural network. Third, we propose agents to each CI to have a global view of the resilience policy of the others using multi-levels interdependencies. Simulations results show that by adopting our proposed approach using multi-level interdependencies, improved management for resilience is gained in these CIs.