Tuning windowed chi-squared detectors for sensor attacks

R. Tunga, Carlos Murguia, Justin Ruths

Research output: Contribution to journalArticleAcademic

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Abstract

A model-based windowed chi-squared procedure is proposed for identifying falsified sensor measurements. We employ the widely-used static chi-squared and the dynamic cumulative sum (CUSUM) fault/attack detection procedures as benchmarks to compare the performance of the windowed chi-squared detector. In particular, we characterize the state degradation that a class of attacks can induce to the system while enforcing that the detectors do not raise alarms (zero-alarm attacks). We quantify the advantage of using dynamic detectors (windowed chi-squared and CUSUM detectors), which leverages the history of the state, over a static detector (chi-squared) which uses a single measurement at a time. Simulations using a chemical reactor are presented to illustrate the performance of our tools.
Original languageEnglish
Article number1710.02573vl
Number of pages7
JournalarXiv
Publication statusPublished - 1 Oct 2017
Externally publishedYes

Keywords

  • Computer Science - Systems and Control
  • Mathematics - Dynamical Systems
  • Mathematics - Optimization and Control

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