Zero Dynamics Attack Detection and Isolation in Cyber-Physical Systems with Event-triggered Communication

TL;DR

This paper presents a novel event-triggered communication-based detection method for Zero Dynamics cyber-attacks in cyber-physical systems, capable of identifying sophisticated attacks even with full attacker knowledge.

Contribution

It introduces a self-triggering communication scheme and auxiliary systems to detect and isolate Zero Dynamics cyber-attacks in CPS, even under full attacker knowledge and false data injection.

Findings

Effective detection demonstrated through simulations

Can isolate attacks even with full attacker knowledge

Reduces communication overhead via event-triggered scheme

Abstract

This paper investigates the problem of Zero Dynamics (ZD) cyber-attack detection and isolation in Cyber-Physical Systems (CPS). By utilizing the notion of auxiliary systems with event-based communications, we will develop a detection mechanism capable of detecting and isolating the ZD cyber-attack even when the attackers have full knowledge of the dynamics of the auxiliary system and can launch False Data Injection (FDI) attacks on all the communication channels. More specifically, we will utilize a self-triggering rule for the communication channels connecting the auxiliary system with the Command & Control (C&C) center, leveraging its properties to detect the ZD cyber-attack. Finally, the effectiveness and capabilities of our approach are verified and demonstrated through simulation case studies.