Title: Data-Injection Attacks in Stochastic Control Systems: Detectability and Performance Tradeoffs,
Abstract: Consider a stochastic process being controlled across a communication
channel. The control signal that is transmitted across the control channel can
be replaced by a malicious attacker. The controller is allowed to implement any
arbitrary detection algorithm to detect if an attacker is present. This work
characterizes some fundamental limitations of when such an attack can be
detected, and quantifies the performance degradation that an attacker that
seeks to be undetected or stealthy can introduce.