Finite-horizon quantized security output feedback control for time-varying cyber-physical systems: Based on encryption strategy

Abstract

This paper addresses the secure state estimation and control problem for networked Cyber-physical systems with encryption, within a finite horizon framework. Considering the challenges posed by eavesdroppers in a real network environment, a novel encryption strategy is introduced, utilizing artificial disturbance vector to block potential eavesdropping attacks. To mitigate the risk of reverse engineering the noise due to its fixed probability, a new probability generation strategy based on Linear Congruential Generators is proposed, which dynamically adjusts the noise probability at each time step. Additionally, to tackle the increased communication load introduced by encryption, a quantization-based encoding strategy is employed to optimize data transmission, reducing the overall communication burden. Simulation results demonstrate that the proposed method effectively achieves the desired security level and performance, while optimizing communication load.