Encryption-Aware Anomaly Detection in Power Grid Communication Networks

• URL: http://arxiv.org/abs/2412.04901v1
• Date: Fri, 06 Dec 2024 09:58:56 GMT
• Title: Encryption-Aware Anomaly Detection in Power Grid Communication Networks
• Authors: Omer Sen, Mehdi Akbari Gurabi, Milan Deruelle, Andreas Ulbig, Stefan Decker,
• Abstract summary: The shift to smart grids has made electrical power systems more vulnerable to sophisticated cyber threats.<n>Our research focuses on the low-level communication layers of encrypted power grid systems to identify irregular patterns using statistics and machine learning.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The shift to smart grids has made electrical power systems more vulnerable to sophisticated cyber threats. To protect these systems, holistic security measures that encompass preventive, detective, and reactive components are required, even with encrypted data. However, traditional intrusion detection methods struggle with encrypted traffic, our research focuses on the low-level communication layers of encrypted power grid systems to identify irregular patterns using statistics and machine learning. Our results indicate that a harmonic security concept based on encrypted traffic and anomaly detection is promising for smart grid security; however, further research is necessary to improve detection accuracy.

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