A Dynamic Strategy for Cyber-Attack Detection in Large-scale Power Systems via Output Clustering
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ACC_2020_final.pdf
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386.9 KB
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Adobe PDF
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Author(s)
Jevtic, Ana
Ilic, Marija
Date Issued
July 2020
Journal
American Control Conference
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Jevtic, Ana and Marija Ilic. "A Dynamic Strategy for Cyber-Attack Detection in Large-scale Power Systems via Output Clustering." American Control Conference, July 2020, Denver, Colorado, USA, Institute of Electrical and Electronics Engineers, July 2020 © 2020 IEEE
Version
Author's final manuscript
Abstract
In this paper we are concerned with reliable operation of the electric power grid in presence of malicious cyber-attacks on measurement signals. We use the continuously changing operating conditions of the power systems to introduce an active defense method based on dynamic clustering. Our detection strategy uses a moving-target approach where information about the system's varying operating point is first used to form dynamic clusters of measurements based on their dynamic response to disturbances. Then, similarity checks can be performed within each cluster to detect stealthy cyber-attacks. The proposed method is effective even when the attacker has extensive knowledge of the system parameters, model and detection policy at some point in time.
MIT Department
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Lincoln Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.23919/acc45564.2020.9147922
