CGA based performance-security trade-off optimization in a networked DC motor system

There are increasing concerns about the protection of the Networked Control Systems (NCS) security because of the growing threats of cyber attacks. However, security requirements often conflict with other performance requirements, like realtime dynamic performance due to limited system resources. We investigate the problem of the trade-off between NCS security and the NCS real-time performance in this paper. We first present a trade-off model for performance and security on NCS using a networked DC Motor system as an example. Then, a framework of performance-security trade-off optimization based on Coevolutionary Genetic Algorithm (CGA) for this networked DC motor system is proposed. Finally, simulation results show that the proposed CGA framework is an effective approach for performance-security trade-off analysis and optimization on NCS.