Giraldo, J.
, Urbina, D.
, Cardenas, A.
, Valente, J.
, Faisal, M.
, Ruths, J.
, Tippenhauer, N.
, Sandberg, H.
and Candell, R.
(2018),
A Survey of Physics-Based Attack Detection in Cyber-Physical Systems, ACM Computing Surveys, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=926029
(Accessed December 16, 2024)
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A Survey of Physics-Based Attack Detection in Cyber-Physical Systems
Published
Author(s)
Jairo Giraldo, David Urbina, Alvaro Cardenas, Junia Valente, Mustafa Faisal, Justin Ruths, Niles O. Tippenhauer, Heinrik Sandberg,
Abstract
Monitoring the "physics" of cyber-physical systems to detect attacks is a growing area of research. In its basic form a security monitor creates time-series models of sensor readings for an industrial control system and identifies anomalies in these measurements in order to identify potentially false control commands or false sensor readings. In this paper, we review previous work on physics-based anomaly detection based on a unified taxonomy that allows us to identify limitations and unexplored challenges, and propose new solutions.Citation
ACM Computing Surveys
Pub Type
Journals
Download Paper
Keywords
Security and privacy, Intrusion detection systems, Information systems, process control systems
Citation
Issues
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Created March 29, 2018, Updated October 12, 2021