期刊
ACM COMPUTING SURVEYS
卷 51, 期 4, 页码 -出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3203245
关键词
Cyber-physical systems; metrics; industrial control systems
资金
- NIST Awards [70NANB16H019, 70NANB17H282]
- NSF [CNS-1553683, CNS-1718848]
- NRF Singapore [NRF2014NCR-NCR001-40]
- Swedish Research Council [2013-5523]
- Swedish Civil Contingencies Agency through the CERCES project
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 to identify potentially false control commands or false sensor readings. In this article, we review previous work on physics-based anomaly detection based on a unified taxonomy that allows us to identify limitations and unexplored challenges and to propose new solutions.
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