A Dynamic Strategy for Cyber-Attack Detection in Large-scale Power Systems via Output Clustering
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...
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| Other Authors: | |
| Format: | Article |
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Institute of Electrical and Electronics Engineers (IEEE)
2020
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| Online Access: | https://hdl.handle.net/1721.1/126773 |
| _version_ | 1826198812378529792 |
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| author | Jevtic, Ana Ilic, Marija |
| author2 | Massachusetts Institute of Technology. Laboratory for Information and Decision Systems |
| author_facet | Massachusetts Institute of Technology. Laboratory for Information and Decision Systems Jevtic, Ana Ilic, Marija |
| author_sort | Jevtic, Ana |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T11:10:24Z |
| format | Article |
| id | mit-1721.1/126773 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T11:10:24Z |
| publishDate | 2020 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1267732022-10-01T01:48:30Z A Dynamic Strategy for Cyber-Attack Detection in Large-scale Power Systems via Output Clustering Jevtic, Ana Ilic, Marija Massachusetts Institute of Technology. Laboratory for Information and Decision Systems Lincoln Laboratory Jevtic, Ana 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. 2020-08-24T20:02:08Z 2020-08-24T20:02:08Z 2020-07 2020-07 Article http://purl.org/eprint/type/ConferencePaper 9781538682661 2378-5861 https://hdl.handle.net/1721.1/126773 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 http://dx.doi.org/10.23919/acc45564.2020.9147922 American Control Conference Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Ana Jevtic |
| spellingShingle | Jevtic, Ana Ilic, Marija A Dynamic Strategy for Cyber-Attack Detection in Large-scale Power Systems via Output Clustering |
| title | A Dynamic Strategy for Cyber-Attack Detection in Large-scale Power Systems via Output Clustering |
| title_full | A Dynamic Strategy for Cyber-Attack Detection in Large-scale Power Systems via Output Clustering |
| title_fullStr | A Dynamic Strategy for Cyber-Attack Detection in Large-scale Power Systems via Output Clustering |
| title_full_unstemmed | A Dynamic Strategy for Cyber-Attack Detection in Large-scale Power Systems via Output Clustering |
| title_short | A Dynamic Strategy for Cyber-Attack Detection in Large-scale Power Systems via Output Clustering |
| title_sort | dynamic strategy for cyber attack detection in large scale power systems via output clustering |
| url | https://hdl.handle.net/1721.1/126773 |
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