Detection of False Data Injection Attack in Power System Based on Hellinger Distance-Reference-Cited by-同舟云学术

Detection of False Data Injection Attack in Power System Based on Hellinger Distance

Published:2024-02 Issue:2 Volume:20 Page:2119-2128
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Qu Zhengwei¹^ORCID,Yang Jingchuan¹,Wang Yunjing¹,Georgievitch Popov Maxim²^ORCID

Affiliation:

1. Key Laboratory of Power Electronics Energy Conservation and Transmission Control, Yanshan University, Qinghuangdao, China

2. Department of Electric Power Station and Automation of Power Systems, Institute of Energy, Peter the Great Saint-Petersburg Polytechnic University, Saint Petersburg, Russia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9424/10411967/10154119.pdf?arnumber=10154119

Reference26 articles.

1. Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies

2. Extreme Learning Machine-Based State Reconstruction for Automatic Attack Filtering in Cyber Physical Power System

3. The 2015 Ukraine Blackout: Implications for False Data Injection Attacks

4. A Review of Cyber-Attack Methods in Cyber-Physical Power System

5. False data injection attacks against state estimation in electric power grids

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