Mitigating Cyber Risks in Smart Cyber-Physical Power Systems Through Deep Learning and Hybrid Security Models

Mitigating Cyber Risks in Smart Cyber-Physical Power Systems Through Deep Learning and Hybrid Security Models

The rise of renewable energy integration in smart grids brings new cybersecurity challenges, prompting this study to examine vulnerabilities in Smart Cyber-Physical Power Systems (CPPS). The integration of renewable energy sources, such as wind and solar, into smart grids poses operational risks due...

Full description

Saved in:
Bibliographic Details
Main Authors: M. A. S. P. Dayarathne, M. S. M. Jayathilaka, R. M. V. A. Bandara, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Smart cyber-physical power systems (CPPS)
cybersecurity in smart grids
renewable energy integration
machine learning for cyber threat detection
deep learning models (CNN
LSTM)
Online Access:https://ieeexplore.ieee.org/document/10902404/
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items