Event-Based Resilient Distributed Estimation under Multiple Heterogeneous Cyberattacks

Networked cyberphysical systems are prone to various types of cyberattacks and disturbances. An event-based distributed estimation approach is introduced to deal with the joint influence of Denial-of-Service (DoS) and deception attacks under disturbances. A distributed event-based communication scheme is proposed to guarantee estimation performance in the presence of aperiodic DoS attacks and simultaneously reduce the data transmission burden. A novel adaptive observer is constructed to compensate for deception attacks. Moreover, a distributed disturbance observer is proposed for disturbance rejection. Sufficient conditions for the estimator design are given, which take the joint effects of DoS attacks and deception attacks into account. The proposed estimation approach is capable of attack-resilient state estimation subject to both DoS and deception attacks under disturbances and precludes Zeno phenomenon. Finally, a simulation example on an IEEE four-bus power grid demonstrates the feasibility and effectiveness of the proposed approach.