Detection of False-Data Injection Attacks in Cyber-Physical DC Microgrids

Beg, Omar Ali; Johnson, Taylor T.; Davoudi, Ali

doi:10.1109/tii.2017.2656905

Cited by 248 publications

(103 citation statements)

References 38 publications

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“…al. in [24] have stressed on the identification the varying of candidate invariants to detect the presence of FDIAs. Moreover, it has been demonstrated that stealth attacks in DC microgrids can deceive the control system without creating any negative impact/disturbance.…”

Section: Introductionmentioning

confidence: 99%

A Stealth Cyber-Attack Detection Strategy for DC Microgrids

Sahoo

Mishra

Peng

et al. 2019

IEEE Trans. Power Electron.

201

132

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Section: Introductionmentioning

confidence: 99%

A Stealth Cyber-Attack Detection Strategy for DC Microgrids

Sahoo

Mishra

Peng

et al. 2019

IEEE Trans. Power Electron.

201

132

View full text Add to dashboard Cite

“…The model of MG1 and its coupling part is as: where 1 is the size of the state matrix 1 , 1 is the number of measurements, and 1-4 and 1-4 are the variances of the process and measurement noise. Using the parameters indicated in Table I, parameters in (14) can be calculated except the variances. The process noise and measurement noise variances are assumed and calculated as 1 = {10,10,10,10}, 1 = {100,100,10,10}.…”

Section: Appendixmentioning

confidence: 99%

Distributed Optimal Dynamic State Estimation for Cyber Intrusion Detection in Networked DC Microgrids

Nguyen

Ngo³

et al. 2019

IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society

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In this paper, we present a novel distributed state estimation approach in networked DC microgrids to detect the false data injection in the microgrid control network. Each microgrid monitored by a distributed state estimator will detect if there is manipulated data received from their neighboring microgrids for control purposes. A dynamic model supporting the dynamic state estimation will be constructed for the networked microgrids. The optimal distributed state estimation, which is robust to load disturbances but sensitive to false data injected from neighboring microgrids will be presented. To demonstrate the effectiveness of the proposed approach, we simulate a 12kV three-bus networked DC microgrids in MATLAB/Simulink. Residual information corresponding to the false data injected from neighbors validates the efficacy of the proposed approach in detecting compromised agents of neighboring microgrids.

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“…Many interesting issues have been addressed on the AC power system, but few studies have focused on the DC grids. Beg et al [29] presented a framework for detecting potential FDIAs in low-voltage cyber-physical DC microgrids. The detection of an FDIA is achieved by comparing sets of inferred candidate invariants with the actual invariants that do not change over time; any mismatch indicates the presence of an FDIA.…”

Section: Literature Surveymentioning

confidence: 99%

Impact of Cyber Attacks on High Voltage DC Transmission Damping Control

et al. 2018

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Hybrid AC/HVDC (AC-HVDC) grids have evolved to become huge cyber-physical systems that are vulnerable to cyber attacks because of the wide attack surface and increasing dependence on intelligent electronic devices, computing resources and communication networks. This paper, for the first time, studies the impact of cyber attacks on HVDC transmission oscillation damping control.Three kinds of cyber attack models are considered: timing attack, replay attack and false data injection attack. Followed by a brief introduction of the HVDC model and conventional oscillation damping control method, the design of three attack models is described in the paper. These attacks are tested on a modified IEEE New England 39-Bus AC-HVDC system. Simulation results have shown that all three kinds of attacks are capable of driving the AC-HVDC system into large oscillations or even unstable conditions.

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Detection of False-Data Injection Attacks in Cyber-Physical DC Microgrids

Cited by 248 publications

References 38 publications

A Stealth Cyber-Attack Detection Strategy for DC Microgrids

A Stealth Cyber-Attack Detection Strategy for DC Microgrids

Distributed Optimal Dynamic State Estimation for Cyber Intrusion Detection in Networked DC Microgrids

Impact of Cyber Attacks on High Voltage DC Transmission Damping Control

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