Real-Time Intrusion Detection in Power Grids Using Deep Learning: Ensuring DPU Data Security

Real-Time Intrusion Detection in Power Grids Using Deep Learning: Ensuring DPU Data Security

Deep learning technologies have revolutionized the management of energy, energy consumption, and data security within smart grids through non-intrusive load monitoring (NILM). This paper explores the use of deep learning for real-time intrusion detection in power grids with a primary focus on safegu...

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Bibliographic Details
Main Authors: Maoran Xiao, Qi Zhou, Zhen Zhang, Junjie Yin
Format: Article
Language:English
Published: Ital Publication 2024-09-01
Series:HighTech and Innovation Journal
Subjects:
machine learning
intrusion detection
smart grids
data integrity
security
nilm
real-time detection
energy management.
Online Access:https://hightechjournal.org/index.php/HIJ/article/view/766
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