Distort to Detect, not Affect: Detecting Stealthy Sensor Attacks with Micro-distortion. (arXiv:2203.12249v1 [cs.CR])

In this paper, we propose an effective and easily deployable approach to
detect the presence of stealthy sensor attacks in industrial control systems,
where (legacy) control devices critically rely on accurate (and usually
non-encrypted) sensor readings. Specifically, we focus on stealthy attacks that
crash a sensor and then immediately impersonate that sensor by sending out fake
readings. We consider attackers who aim to stay hidden in the system for a
prolonged period. To detect such attacks, our approach relies on …

attacks micro