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.
|Title of host publication||IEEE Conference on Control Technology and Applications (CCTA)|
|Number of pages||7|
|Publication status||Published - 13 Oct 2016|
|Event||2016 IEEE Conference on Control Applications (CCA 2016) - Buenos Aires, Argentina|
Duration: 19 Sep 2016 → 22 Oct 2016
|Conference||2016 IEEE Conference on Control Applications (CCA 2016)|
|Period||19/09/16 → 22/10/16|