Improving FDI Detection for PMU State Estimation Using Adversarial Interventions and Deep Auto-Encoder-Reference-Cited by-同舟云学术

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Improving FDI Detection for PMU State Estimation Using Adversarial Interventions and Deep Auto-Encoder

Published:2024 Issue: Volume:12 Page:116398-116414
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Almasabi Saleh¹^ORCID,Mushtaq Zohaib²,Khan Nabeel Ahmed³^ORCID,Irfan Muhammad¹^ORCID

Affiliation:

1. Electrical Engineering Department, Najran University, Najran, Saudi Arabia

2. Department of Electrical Electronics and Computer Systems, College of Engineering and Technology, University of Sargodha, Sargodha, Pakistan

3. Department of Electrical Engineering, Riphah International University, Islamabad, Pakistan

Funder

Deanship of Scientific Research, Najran University, Saudi Arabia, through the Distinguished Funding Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10638657.pdf?arnumber=10638657

Reference41 articles.

1. A Review of False Data Injection Attacks Against Modern Power Systems

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

3. Analysis and Enlightenment of the Blackouts in Argentina and New York

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

5. False Data Injection Attacks Induced Sequential Outages in Power Systems

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