Consensus Approach to Secure State Estimation for a Class of Remotely Sensed Networked Systems

Remote sensing is often a crucial part of cyber-physical and networked systems. Measurements taken at remote locations can both serve as monitoring tools as well as to inform control decisions. Over the past few years, a number of cyberattacks were mounted against such systems with severe socio-economic consequences. In this paper we explore how physical measurements can be used in combination with a consensus algorithm, to ensure secure state estimation for a class of tree-like networked systems.