Decentralized Diagnosis of Networked Discrete Event Systems Subject to Denial of Service Attacks

In this paper, we address the problem of decentralized failure diagnosis of networked discrete event systems (NDES) in the presence of Denial-of-Service (DoS) attacks. We propose an automaton model for NDES subject to DoS attacks that represent the adverse effects of DoS attacks on the observations of local diagnosers. We formulate a new diagnosis property, to be referred here to as DoS-robust codiagnosability, and present a systematic way to verify whether the language generate by a NDES is DoS-robustly codiagnosable.