Resilience Analysis of Discrete-Time Networked System in the Presence of Information Disclosure

Nowadays, security attacks on cyber physical systems have been reported frequently, wherein the eavesdropping attack is an usual hidden type of passive attack. In this paper, we consider the resilience of a discrete-time networked system in the presence of eavesdropping attacks. First, we analyze the convergence properties of the networked system. Then we provide necessary and sufficient conditions under which the eavesdropper can infer the states of the networked system by observing the states of partial of nodes, and also provide necessary conditions when the network has some nodes with zero out-degree. Finally, we verify all the derived theoretical results by numerical simulations, and show the relation of the node role in the network and the eavesdropping performance in some typical networks.