Providing Security in CPSs with Evolutionary Algorithms

Because of the significant role of Cyber-Physical Systems (CPSs) in our lives, the security of these systems is of paramount importance. Due to the complexity of inside CPSs components, current methods need special skills to understand their workflow. The approach available in this regard, more than comfortability, have the ability to adapt to the network conditions. In this research, we present the secure routing problem of CPSs as a multi-objective optimization model and then solve it through three Evolutionary Algorithms (EAs). The main reason four using EA is that it allows satisfying the time constraints in the routing. Multi-objective optimization produces optimum values for objectives simultaneously