Stealthy false data injection attack scheduling design for multi-sensor systems with resource constraints

Abstract

This paper studies the optimal false data injection (FDI) attack scheduling problem for multi-sensor cyber–physical systems (CPSs), where the communication bandwidth and energy constraints are considered simultaneously. A novel event-based attack scheduling strategy is proposed to allocate the energy effectively under the bandwidth constraint. Based on which, the optimal stealthy attack parameters are presented analytically, where the remote state estimation error is maximized and the attack stealthiness is guaranteed. Compared with the existing works, the proposed attack strategy can save attack resources significantly while ensuring attack performance. Finally, the simulations are presented to verify the proposed results.