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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE transactions on systems, man, and cybernetics. Systems Ročník 49; číslo 8; s. 1688 - 1697
Hlavní autoři: Chen, Wei, Ding, Derui, Dong, Hongli, Wei, Guoliang
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.08.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
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
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2168-2216
2168-2232
DOI:10.1109/TSMC.2019.2905253