Distributed Resilient Filtering for Power Systems Subject to Denial-of-Service Attacks

This paper addresses the distributed resilient filtering problem for a class of power systems subject to denial-of-service (DoS) attacks. A novel distributed filter is first constructed to practically reflect the impact from both cyber-attacks and gain perturbations. For all possible occurrence of D...

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Veröffentlicht in:IEEE transactions on systems, man, and cybernetics. Systems Jg. 49; H. 8; S. 1688 - 1697
Hauptverfasser: Chen, Wei, Ding, Derui, Dong, Hongli, Wei, Guoliang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.08.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Computer simulation
Covariance
Cybersecurity
Denial of service attacks
Denial-of-service (DoS) attack
Denial-of-service attack
Difference equations
distributed filtering
Electric power distribution
Filtration
gain perturbations
Mathematical analysis
Matrix methods
Perturbation methods
Power system dynamics
Power system stability
power systems
Recursive methods
resilient filter
State estimation
Symmetric matrices
Upper bounds
ISSN:2168-2216, 2168-2232
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Zusammenfassung:This paper addresses the distributed resilient filtering problem for a class of power systems subject to denial-of-service (DoS) attacks. A novel distributed filter is first constructed to practically reflect the impact from both cyber-attacks and gain perturbations. For all possible occurrence of DoS attacks and gain perturbations, an upper bound of filtering error covariance is derived by resorting to some typical matrix inequalities. Furthermore, the desired filter gain relying on the solution of two Riccati-like difference equations is obtained with the help of the gradient-based approach and the mathematical induction. The developed algorithm with a recursive form is independent of the global information and thus satisfies the requirements of scalability and distributed implementation online. Finally, a benchmark simulation test is exploited to check the usefulness of the designed filter.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2168-2216
2168-2232
DOI:10.1109/TSMC.2019.2905253