A Traffic Analysis and Node Categorization- Aware Machine Learning-Integrated Framework for Cybersecurity Intrusion Detection and Prevention of WSNs in Smart Grids-Reference-Cited by-同舟云学术

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A Traffic Analysis and Node Categorization- Aware Machine Learning-Integrated Framework for Cybersecurity Intrusion Detection and Prevention of WSNs in Smart Grids

Published:2024 Issue: Volume:12 Page:91715-91733
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhukabayeva Tamara¹^ORCID,Pervez Aisha²,Mardenov Yerik¹^ORCID,Othman Mohamed³^ORCID,Karabayev Nurdaulet¹^ORCID,Ahmad Zulfiqar⁴^ORCID

Affiliation:

1. International Science Complex “Astana,”, Astana, Kazakhstan

2. Telecommunication Department, Hazara University, Mansehra, Pakistan

3. Department of Communication Technology and Networks, Universiti Putra Malaysia (UPM), Serdang, Malaysia

4. Department of Computer Science and Information Technology, Hazara University, Mansehra, Pakistan

Funder

Science Committee of the Ministry of Education and Science of Kazakhstan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10579970.pdf?arnumber=10579970

Reference38 articles.

1. Smart Sensors for Smart Grid Reliability

2. Integrating Smart Grid Devices into the Traditional Protection of Distribution Networks

3. Smart Meter: Impact and Usefulness on Smart Grids

4. Communication Technologies for Smart Grid: A Comprehensive Survey

5. Optimization of IEDs Position in MV Smart Grids through Integer Linear Programming

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