Attack Detection for Networked Control Systems Using Event-Triggered Dynamic Watermarking
Dajun Du, Changda Zhang, Xue Li, Minrui Fei, and Huiyu Zhou

TL;DR
This paper introduces an event-triggered dynamic watermarking scheme for networked control systems, improving attack detection by treating watermarking as encryption and validating its effectiveness through experiments.
Contribution
It proposes a novel event-triggered dynamic watermarking method that enhances security against replay attacks in networked control systems.
Findings
The scheme effectively detects generalized replay attacks.
Experimental validation on a networked inverted pendulum system.
The method improves attack detection efficiency in NCSs.
Abstract
Dynamic watermarking schemes can enhance the cyber attack detection capability of networked control systems (NCSs). This paper presents a linear event-triggered solution to conventional dynamic watermarking (CDW) schemes. Firstly, the limitations of CDW schemes for event-triggered state estimation based NCSs are investigated. Secondly, a new event-triggered dynamic watermarking (ETDW) scheme is designed by treating watermarking as symmetric key encryption, based on the limit convergence theorem in probability. Its security property against the generalized replay attacks (GRAs) is also discussed in the form of bounded asymptotic attack power. Thirdly, finite sample ETDW tests are designed with matrix concentration inequalities. Finally, experimental results of a networked inverted pendulum system demonstrate the validity of our proposed scheme.
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Taxonomy
TopicsSmart Grid Security and Resilience · Network Security and Intrusion Detection · Internet Traffic Analysis and Secure E-voting
