Preventive Network Protection in Probabilistic Large-Scale Failure Scenarios

Large-scale failure resulting from natural disasters or intentional attacks is now considered a serious risk for communication network infrastructure. The impact of large scale network connection disruptions may cause significant costs for service providers and subscribers. In this paper, we develop a novel approach for preventive protection of the network based on a probabilistic model for large-scale failure scenarios. In particular, we aim to develop a scheme to improve uninterrupted delivery of data in the network to provide desired services in case of large-scale failures. We conduct simulations to show the significant reduction in the average number of disrupted connections and network disruption time due to failure.