An Abrupt Change Detection Heuristic with Applications to Cyber Data Attacks on Power Systems
Dynamical Systems
2014-04-09 v1 Systems and Control
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.
Keywords
Cite
@article{arxiv.1404.1978,
title = {An Abrupt Change Detection Heuristic with Applications to Cyber Data Attacks on Power Systems},
author = {Borhan M. Sanandaji and Eilyan Bitar and Kameshwar Poolla and Tyrone L. Vincent},
journal= {arXiv preprint arXiv:1404.1978},
year = {2014}
}
Comments
to appear in the 2014 American Control Conference - ACC