A Node and Load Allocation Algorithm for Resilient CPSs under Energy-Exhaustion Attack

A cyber-physical system (CPS) must continue to meet minimum performance requirements under extreme conditions, such as in the presence of security breaches. Existing security-aware techniques and analyses focus on pre-attack countermeasures and do not consider the impact of security attacks on real-time performance. We propose a post-attack node and load allocation algorithm for CPSs that must continue operation even under energy-exhaustion attack. Our algorithm is designed based on probabilistic programming where chance constraints are used to capture the potential effects of an attack, thus allowing the CPSs to be more resilient. Simulation results indicate that our method is able to significantly increase the remaining CPS energy, thus extending the operating lifetime of the CPS.