Security Metrics for Uncertain Interconnected Systems under Stealthy Data Injection Attacks

This paper quantifies the security of uncertain interconnected systems under stealthy data injection attacks. In particular, we consider a large-scale system composed of a certain subsystem interconnected with an uncertain subsystem, where only the input-output channels are accessible. An adversary is assumed to inject false data to maximize the performance loss of the certain subsystem while remaining undetected. By abstracting the uncertain subsystem as a class of admissible systems satisfying an L 2 gain constraint, the worst-case performance loss is obtained as the solution to a convex semi-definite program depending only on the certain subsystem dynamics and such an L 2 gain constraint. This solution is proved to serve as an upper bound for the actual worst-case performance loss when the model of the entire system is fully certain. The results are demonstrated through numerical simulations of the power transmission grid spanning Sweden and Northern Denmark.

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Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.07.063
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.00
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article

Security Metrics for Uncertain Interconnected Systems under Stealthy Data Injection Attacks

Sribalaji C. Anand, Anh Tung Nguyen, André Teixeira
IFAC-PapersOnLine
Smart Grid Security and Resilience
article

Security Metrics for Uncertain Interconnected Systems under Stealthy Data Injection Attacks

Sribalaji C. Anand, Anh Tung Nguyen, André Teixeira
article en

Abstract

This paper quantifies the security of uncertain interconnected systems under stealthy data injection attacks. In particular, we consider a large-scale system composed of a certain subsystem interconnected with an uncertain subsystem, where only the input-output channels are accessible. An adversary is assumed to inject false data to maximize the performance loss of the certain subsystem while remaining undetected. By abstracting the uncertain subsystem as a class of admissible systems satisfying an L 2 gain constraint, the worst-case performance loss is obtained as the solution to a convex semi-definite program depending only on the certain subsystem dynamics and such an L 2 gain constraint. This solution is proved to serve as an upper bound for the actual worst-case performance loss when the model of the entire system is fully certain. The results are demonstrated through numerical simulations of the power transmission grid spanning Sweden and Northern Denmark.

IFAC-PapersOnLineVol. 59(4)
Uppsala University (SE), KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 76%
Smart Grid Security and Resilience
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