Event-Based Resilient Distributed Estimation Under Multiple Heterogeneous Cyber-Attacks

Xiaoyu Guo

Research output: Contribution to journalArticlepeer-review

Abstract

Networked cyber-physical systems are prone to various types of cyber-attacks 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 4-bus power grid demonstrates the feasibility and effectiveness of the proposed approach.

Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalIEEE Transactions on Control of Network Systems
DOIs
Publication statusPublished - 2 Sept 2022

Keywords

  • Control systems
  • Data communication
  • Denial-of-service (DoS) attack
  • Denial-of-service attack
  • Distributed state estimation
  • Network systems
  • Resilience
  • Sensor systems
  • Sensors
  • deception attack
  • event-triggered communication

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