Enhanced Locational FDIA Detection in Smart Grids: A Scalable Distributed Framework-Reference-Cited by-同舟云学术

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Enhanced Locational FDIA Detection in Smart Grids: A Scalable Distributed Framework

Published:2024-01-08 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 4th International Conference on Smart Grid and Renewable Energy (SGRE)
language:
Short-container-title:

Author:

Eddin Maymouna Ez¹,Massaoudi Mohamed¹,Shadmand Mohammad²,Abdallah Mohamed³

Affiliation:

1. Texas A&M University at Qatar,Department of Electrical and Computer Engineering,Doha,Qatar

2. University of Illinois at Chicago,Department of Electrical and Computer Engineering,Chicago,USA

3. Hamad Bin Khalifa University,Information and Computing Technology Division,Doha,Qatar

Funder

Qatar National Research Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10428118/10428123/10428835.pdf?arnumber=10428835

Reference18 articles.

1. Renewable energy resources: Current status, future prospects and their enabling technology

2. Cyber-attacks against cyber-physical power systems security: State estimation, attacks reconstruction and defense strategy

3. A comprehensive review of cyber-attacks and defense mechanisms for improving security in smart grid energy systems: Past, present and future

4. Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids Using Graph Neural Networks

5. Achieving Efficient Detection Against False Data Injection Attacks in Smart Grid

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