Secure State Estimation: Optimal Guarantees against Sensor Attacks in the Presence of Noise
This work addresses security for cyber-physical systems, providing optimal guarantees against sensor attacks in noisy environments, which is an incremental improvement over prior noiseless models.
The paper tackles the problem of estimating the state of a noisy linear dynamical system when some sensors are arbitrarily corrupted by an adversary, proposing a secure state estimation algorithm and deriving optimal bounds on the achievable state estimation error.
Motivated by the need to secure cyber-physical systems against 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.