Improved Zero-Dynamics Attack Scheduling With State Estimation

Abstract

This letter focuses on how an attacker can design suitable improved zero-dynamics (ZD) attack signal based on state estimates of target system. Improved ZD attack is to change zero dynamic gain matrix of attack signal to a matrix with determinant greater than 1. This attack method ensures that attack signal can complete the destruction of target system but to a certain extent, the original stealth of ZD attack is lost. To address this situation we introduce Kalman filter state estimation, before attacker designs attack signal, they can design a suitable improved ZD attack signal based on proposed attack stealth time and estimated system states and their thresholds formulated. We verified theoretical results with a linear discrete-time system.