Cyber-Physical GNN-Based Intrusion Detection in Smart Power Grids-Reference-Cited by-同舟云学术

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Cyber-Physical GNN-Based Intrusion Detection in Smart Power Grids

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
language:
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Author:

Sweeten Jacob¹,Takiddin Abdulrahman²,Ismail Muhammad¹,Refaat Shady S.³,Atat Rachad⁴

Affiliation:

1. Tennessee Technological University,Department of Computer Science,Cookeville,TN,USA

2. Florida State University,Department of Electrical and Computer Engineering,Tallahassee,FL,USA

3. University of Hertfordshire,Department of Engineering and Technology,Hertfordshire,UK

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10333305/10333870/10333949.pdf?arnumber=10333949

Reference31 articles.

1. Cyber-attack against Ukrainian critical infrastructure,2021

2. Compromise of a power grid in eastern Ukraine,2015

3. Ukraine says it thwarted Russian cyberattack on electricity grid;Pearson,2022

4. Design, implementation, and field-testing of distributed intrusion detection system for smart grid SCADA network

5. Machine Learning-Based Intrusion Detection for Achieving Cybersecurity in Smart Grids Using IEC 61850 GOOSE Messages

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