An Online Detection Framework for Cyber Attacks on Automatic Generation Control Academic Article

abstract

• 2018 IEEE. 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.

authors

• Kumar, Panganamala
• Xie, Le

published proceedings

• IEEE TRANSACTIONS ON POWER SYSTEMS

altmetric score

• 0.75

author list (cited authors)

• Huang, T., Satchidanandan, B., Kumar, P. R., & Xie, L. e.

citation count

• 66

complete list of authors

• Huang, Tong||Satchidanandan, Bharadwaj||Kumar, PR||Xie, Le

publication date

• April 2018

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE TRANSACTIONS ON POWER SYSTEMS  Journal

keywords

• Automatic Generation Control (agc)
• Cyber-physical Security (cps)
• Dynamic Watermarking

Digital Object Identifier (DOI)

• 10.1109/TPWRS.2018.2829743

start page

• 6816

end page

• 6827

volume

• 33

issue

• 6