Optimal deception attacks under energy harvesting constraints for cyber-physical systems

This paper investigates the design of optimal deception attacks against remote state estimation, where the attacker is equipped with energy harvesting capability to supply more energy resources for implementing the attacks. To derive the optimal attack parameters and energy allocation strategy collaboratively, the attack design problem is transformed into a multi-variable constrained optimization problem which is solved by employing the proposed stepwise optimization method without sacrificing the optimality. Specifically, the analytical expression of the optimal attack parameters is firstly derived based on the presented data isolation technique, which removes the conservatism of the existing results where the attack schemes are merely suboptimal or the attack targets are limited to the systems without redundant sensors. Then, by analyzing the intrinsic property of the average estimation error, the optimal allocation of the dynamic attack energy is obtained to maximize the attack effect. Finally, the simulations are given to verify the developed results.