Characterization of a CUSUM model-based sensor attack detector

C.G. Murguia Rendon, Justin Ruths

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

37 Citaten (Scopus)

Samenvatting

In the context of sensor attacks on linear time-invariant cyber-physical systems, we propose a model-based cumulative sum (CUSUM) procedure for identifying falsified sensor measurements. To fulfill a desired detection performance-given the system dynamics, control and estimation schemes, and noise statistics-we derive tools for designing and 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. Moreover, we quantify the advantage of using a dynamic detector (CUSUM), which leverages the history of the state, over a static detector (Bad-Data) which uses a single measurement at a time. Simulation experiments are presented to illustrate the performance of the detection scheme
Originele taal-2Engels
TitelIEEE Conference on Decision and Control
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's7
ISBN van elektronische versie978-1-5090-1837-6
DOI's
StatusGepubliceerd - 29 dec 2016
Evenement55th IEEE Conference on Decision and Control (CDC 2016) - Aria Resort and Casino, Las Vegas, Verenigde Staten van Amerika
Duur: 12 dec 201614 dec 2016
Congresnummer: 55
http://cdc2016.ieeecss.org/

Congres

Congres55th IEEE Conference on Decision and Control (CDC 2016)
Verkorte titelCDC02016
LandVerenigde Staten van Amerika
StadLas Vegas
Periode12/12/1614/12/16
Internet adres

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