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This paper studies optimal communication and coordination strategies incyber-physical systems for both defender and attacker within a game-theoreticframework. We model the communication network of a cyber-physical system as asensor network which involves one single Gaussian source observed by manysensors, subject to additive independent Gaussian observation noises. Thesensors communicate with the estimator over a coherent Gaussian multiple accesschannel. The aim of the receiver is to reconstruct the underlying source withminimum mean squared error. The scenario of interest here is one where some ofthe sensors are captured by the attacker and they act as the adversary(jammer): they strive to maximize distortion. The receiver (estimator) knowsthe captured sensors but still cannot simply ignore them due to the multipleaccess channel, i.e., the outputs of all sensors are summed to generate theestimator input. We show that the ability of transmitter sensors to secretlyagree on a random event, that is "coordination", plays a key role in theanalysis...

Optimal Communication Strategies in Networked Cyber-Physical Systems with Adversarial Elements