Industrial Control Systems (ICS) are responsible for the safety and operations of critical infrastructure such as power grids. Attacks on such systems threaten the well-being of societies, and the lives of human operators, and pose huge financial risks. To detect those attacks, process-aware attack detectors were proposed by academia and industry to verify inherent physical correlations. Such detectors will be trained by the vendors on process data from the target system, which allows malicious manipulations of the training process to later evade detection at runtime. Previously proposed attacks in this direction rely on detailed process knowledge to predict the exact attack features to be concealed.
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Walita et al. (2023) studied this question.
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