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This chapter presents a distributed data fusion algorithm for situational awareness in critical infrastructures whose link failures are based on the transferable belief model. The algorithm is applied to a case study involving a class of critical infrastructures that exchange the possible causes of the faults or threats that affect them. The algorithm is robust to communications link failures caused by natural disasters, cyber attacks or physical security breaches. Theoretical results show that algorithm convergence only requires the connectedness of the network topology over a certain time window, providing resilience in the face of temporary disruptions in the infrastructure communications layer.

DISTRIBUTED DATA FUSION FOR SITUATIONAL AWARENESS IN CRITICAL INFRASTRUCTURES WITH LINK FAILURES