Proactive detection of cyber-physical grid attacks: A pre-attack phase identification and analysis using anomaly-based machine learning models

Proactive detection of cyber-physical grid attacks: A pre-attack phase identification and analysis using anomaly-based machine learning models

Cyber-physical power systems (CPPS), such as smart grids, are essential to modern infrastructure but are increasingly vulnerable to sophisticated cyber-attacks. Traditional security approaches often detect threats only after damage occurs, underscoring the need for proactive solutions. This research...

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Bibliographic Details
Main Authors: Shaharier Kabir, Nasif Hannan, Abu Shufian, Md Saniat Rahman Zishan
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Array
Subjects:
Cyber-power physical systems
Smart grid security
Anomaly detection
Machine learning
Pre-attack phases
Isolation forest
Online Access:http://www.sciencedirect.com/science/article/pii/S2590005625000682
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