Detection of Cyber Attacks in Grid-tied PV Systems Using Dynamic Watermarking

Ibrahim, Hasan; Kim, Jae-Won; Enjeti, P.N.; Xie, Le

doi:10.1109/greentech52845.2022.9772036

Cited by 4 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Later, Satchidanandand et al [17] proposed the concept of dynamic watermarking for the first time and introduced the detection algorithm model, applicable control system categories, and corresponding proofs. In subsequent related studies, this algorithm was applied to the AGC system [18], the grid-tied photovoltaic system [19], the autonomous vehicle [20], and microgrids [21]. Oriented to the closed-loop control system on the measurement of the stealth attack, the dynamic watermarking method through the active injection, to avoid the malicious attacker through eavesdropping and other ways to get the characteristics of the system recognition, so as to achieve active protection of sensor in cyber security.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic-Watermarking-Based Cyberattack Detection Framework on an LFC System With Uncertain Parameters

Jia,

Guo

2024

IEEE Internet Things J.

View full text Add to dashboard Cite

The real-time control of modern power systems faces cyber risks owing to the deep coupling of cyber systems and physical systems. Attack detection plays an important role in cybersecurity issues. In load frequency control systems, for example, detecting whether malicious data are injected guarantees the stability of the frequency. As an effective active attack detection algorithm, the dynamic watermarking algorithm faces challenge of parameter uncertainty in real-world applications. Here, we quantitatively analyze the influence of uncertain parameters for the dynamic-watermarking-based detection algorithm. By introducing the parameter identification algorithm, we propose an active attack detection framework for LFC systems with uncertain parameters, which is constructed for an online application. The proposed framework is validated in a real-world three-region power system simulation. The results show that the introduction of the parameter identification steps ensures the validity of the detection algorithm and can effectively avoid the malfunction of the detection mechanism caused by uncertain parameters.

show abstract