An abrupt change detection heuristic with applications to cyber data attacks on power systems
| Title | An abrupt change detection heuristic with applications to cyber data attacks on power systems |
| Publication Type | Conference Paper |
| Year of Publication | 2014 |
| Authors | Sanandaji, B.M., Bitar, E., Poolla, K., Vincent, T.L. |
| Conference Name | American Control Conference (ACC), 2014 |
| Date Published | June |
| Keywords | abrupt change detection heuristic, bounded state variations, cyber data attacks, Fault detection/accomodation, History, history matrix, Monitoring, Noise level, Power system dynamics, Power systems, SCADA systems, singular value decomposition, Time measurement, Vectors |
| Abstract | We present an analysis of a heuristic for abrupt change detection of systems with bounded state variations. The proposed analysis is based on the Singular Value Decomposition (SVD) of a history matrix built from system observations. We show that monitoring the largest singular value of the history matrix can be used as a heuristic for detecting abrupt changes in the system outputs. We provide sufficient detectability conditions for the proposed heuristic. As an application, we consider detecting malicious cyber data attacks on power systems and test our proposed heuristic on the IEEE 39-bus testbed. |
| URL | https://ieeexplore.ieee.org/document/6859403 |
| DOI | 10.1109/ACC.2014.6859403 |
| Citation Key | 6859403 |