Cusum and chi-squared attack detection of compromised sensors

C.G. Murguia Rendon, Justin Ruths

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

44 Citations (Scopus)


A vector-valued model-based cumulative sum (CUSUM) procedure is proposed for identifying falsified sensor measurements. To fulfill a desired detection performance, given the system dynamics, we derive tools for tuning the CUSUM procedure. We characterize the state degradation that a stealthy attacker can induce to the system while remaining undetected by the detection procedure. We quantify the advantage of using a dynamic detector (CUSUM), which leverages the history of the state, over a static detector (chi-squared) which uses a single measurement at a time. Simulation experiments are presented to illustrate the performance of the detection scheme.
Original languageEnglish
Title of host publicationIEEE Conference on Control Technology and Applications (CCTA)
PublisherIEEE Press
Number of pages7
ISBN (Electronic)978-1-5090-0755-4
Publication statusPublished - 13 Oct 2016
Event2016 IEEE Conference on Control Applications, CCA 2016 - Buenos Aires, Argentina, Buenos Aires, Argentina
Duration: 19 Sep 201622 Sep 2016


Conference2016 IEEE Conference on Control Applications, CCA 2016
Abbreviated titleCCA2016
CityBuenos Aires
Internet address


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