Novel SMO-Based Detection and Isolation of False Data Injection Attacks Against Frequency Control Systems

Syrmakesis, AD; Alhelou, HH; Hatziargyriou, ND

Novel SMO-Based Detection and Isolation of False Data Injection Attacks Against Frequency Control Systems

Syrmakesis, AD Alhelou, HH Hatziargyriou, ND

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Publisher:: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Publication Type:: Journal Article
Citation:: IEEE Transactions on Power Systems, 2024, 39, (1), pp. 1434-1446
Issue Date:: 2024-01-01

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Field	Value	Language
dc.contributor.author	Syrmakesis, AD
dc.contributor.author	Alhelou, HH
dc.contributor.author	Hatziargyriou, ND
dc.date.accessioned	2025-01-03T02:30:33Z
dc.date.available	2025-01-03T02:30:33Z
dc.date.issued	2024-01-01
dc.identifier.citation	IEEE Transactions on Power Systems, 2024, 39, (1), pp. 1434-1446
dc.identifier.issn	0885-8950
dc.identifier.issn	1558-0679
dc.identifier.uri	http://hdl.handle.net/10453/182931
dc.description.abstract	The integration of modern power systems with information and communication technologies exposes them to various cyber threats. Load frequency control (LFC) is a communication-based automation in power systems that regulates the frequency of the grid. Its critical role makes it a highly attractive target for adversaries. This paper proposes a novel detection and isolation method of False Data Injection Attacks (FDIAs) against LFC. The defense method employs sliding mode observation techniques to detect FDIAs against LFC in real-time and discover which parts of the control loop have been compromised. Attacks are identified by comparing the generated residuals with a specific threshold that is designed in an adaptive manner. The proposed method is able to successfully distinguish the FDIAs from other system disturbances and is robust against uncertainties in power system parameters and noisy measurements. The effectiveness and scalability of the proposed defense method are confirmed on realistic power system models, considering nonlinearities, different topologies and diverse types of transmission links.
dc.language	English
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartof	IEEE Transactions on Power Systems
dc.relation.isbasedon	10.1109/TPWRS.2023.3242015
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.subject.classification	Energy
dc.subject.classification	4008 Electrical engineering
dc.title	Novel SMO-Based Detection and Isolation of False Data Injection Attacks Against Frequency Control Systems
dc.type	Journal Article
utslib.citation.volume	39
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2025-01-03T02:30:31Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	39
utslib.citation.issue	1

Abstract:

The integration of modern power systems with information and communication technologies exposes them to various cyber threats. Load frequency control (LFC) is a communication-based automation in power systems that regulates the frequency of the grid. Its critical role makes it a highly attractive target for adversaries. This paper proposes a novel detection and isolation method of False Data Injection Attacks (FDIAs) against LFC. The defense method employs sliding mode observation techniques to detect FDIAs against LFC in real-time and discover which parts of the control loop have been compromised. Attacks are identified by comparing the generated residuals with a specific threshold that is designed in an adaptive manner. The proposed method is able to successfully distinguish the FDIAs from other system disturbances and is robust against uncertainties in power system parameters and noisy measurements. The effectiveness and scalability of the proposed defense method are confirmed on realistic power system models, considering nonlinearities, different topologies and diverse types of transmission links.

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http://hdl.handle.net/10453/182931