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- W3044438275 abstract "In an Industrial Control System (ICS), its complex network of sensors, actuators and controllers have raised security concerns. In this paper, we proposed a technique called Process Skew that uses the small deviations in the ICS process (herein called as a process fingerprint) for anomaly detection. The process fingerprint appears as noise in sensor measurements due to the process fluctuations. Such a fingerprint is unique to a process due to the intrinsic operational constraints of the physical process. We validated the proposed scheme using the data from a real-world water treatment testbed. Our results show that we can effectively identify a process based on its fingerprint, and detect process anomaly with a very low false-positive rate." @default.
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- W3044438275 date "2020-07-08" @default.
- W3044438275 modified "2023-09-26" @default.
- W3044438275 title "Process skew" @default.
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- W3044438275 doi "https://doi.org/10.1145/3395351.3399364" @default.
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