AbstractThe vast majority of critical infrastructure, including transportation systems, smart grid, and gas distribution systems, is currently managed by Cyber-Physical Systems (CPS). CPS essentially consist of a physical process (dynamical system) and a network of sensors, controllers and actuators which realize a feedback loop for managing the underlying dynamical system. Due to close interaction between the cyber and physical components in a CPS, these systems pose unique security challenges which cannot be addressed by conventional cyber security methods. Motivated by the need to secure CPS against malicious attacks, we consider the problem of estimating the state of a noisy linear dynamical system when a subset of sensors is arbitrarily corrupted by an adversary. We propose a secure state estimation algorithm and derive (optimal) bounds on the achievable state estimation error. In addition, as a result of independent interest, we give a coding theoretic interpretation for prior work on secure state estimation against sensor attacks in a noiseless dynamical system. This is joint work with Yasser Shoukry, Nikhil Karamchandani, Suhas Diggavi and Paulo Tabuada. |
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