An Online Detection Framework for Cyber Attacks on Automatic Generation Control

We propose an online framework to detect cyberattacks on automatic generation control. A cyberattack detection algorithm is designed based on the approach of dynamic watermarking. The detection algorithm provides a theoretical guarantee of detection of cyberattacks launched by sophisticated attacker...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE transactions on power systems Ročník 33; číslo 6; s. 6816 - 6827
Hlavní autori: Huang, Tong, Satchidanandan, Bharadwaj, Kumar, P. R., Xie, Le
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.11.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Algorithms
Automatic control
Automatic generation control
automatic generation control (AGC)
cyber-physical security (CPS)
Cyberattack
Cybersecurity
Detection algorithms
Dynamic watermarking
Frequency measurement
Power system dynamics
Statistical models
Upgrading
Watermarking
ISSN:0885-8950, 1558-0679
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:We propose an online framework to detect cyberattacks on automatic generation control. A cyberattack detection algorithm is designed based on the approach of dynamic watermarking. The detection algorithm provides a theoretical guarantee of detection of cyberattacks launched by sophisticated attackers possessing extensive knowledge of the physical and statistical models of targeted power systems. The proposed framework is practically implementable, as it needs no hardware update on generation units. The efficacy of the proposed framework is validated in both four-area system and 140-bus system.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2018.2829743