A Review on the Evaluation of Feature Selection Using Machine Learning for Cyber-Attack Detection in Smart Grid-Reference-Cited by-同舟云学术

A Review on the Evaluation of Feature Selection Using Machine Learning for Cyber-Attack Detection in Smart Grid

Published:2024 Issue: Volume:12 Page:44023-44042
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mohammed Saad Hammood¹^ORCID,Al-Jumaily Abdulmajeed²,Singh Mandeep S. Jit¹^ORCID,Jiménez Víctor P. Gil²^ORCID,Jaber Aqeel S.^ORCID,Hussein Yaseein Soubhi³^ORCID,Al-Najjar Mudhar Mustafa Abdul Kader⁴,Al-Jumeily Dhiya⁵^ORCID

Affiliation:

1. Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

2. Department of Signal Theory and Communications, Universidad Carlos III de Madrid, Leganés, Spain

3. Department of Information Systems and Computer Science, Ahmed bin Mohammed Military College (ABMMC), Doha, Qatar

4. Department of Management and Tourism Studies, Oman Tourism College, Muscat, Oman

5. School of Computer Science & Mathematics, Liverpool John Moores University, Liverpool, U.K

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10452322.pdf?arnumber=10452322

Reference183 articles.

1. Smart grid communication and information technologies in the perspective of Industry 4.0: Opportunities and challenges

2. Analysis of cyber-attacks on smart grid applications

3. Smart Grid Cyber-Physical Attack and Defense: A Review

4. Cybersecurity challenges of power transformers;Rahimpour;arXiv:2302.13161,2023

5. Applications and security risks of artificial intelligence for cyber security in digital environment;Aurucci,2018

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