Abstract
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 language | English |
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Title of host publication | IEEE Conference on Control Technology and Applications (CCTA) |
Publisher | IEEE Press |
Pages | 474-480 |
Number of pages | 7 |
ISBN (Electronic) | 978-1-5090-0755-4 |
DOIs | |
Publication status | Published - 13 Oct 2016 |
Event | 2016 IEEE Conference on Control Applications, CCA 2016 - Buenos Aires, Argentina, Buenos Aires, Argentina Duration: 19 Sep 2016 → 22 Sep 2016 http://www.msc2016.org/ |
Conference
Conference | 2016 IEEE Conference on Control Applications, CCA 2016 |
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Abbreviated title | CCA2016 |
Country/Territory | Argentina |
City | Buenos Aires |
Period | 19/09/16 → 22/09/16 |
Internet address |