Encryption-Aware Anomaly Detection in Power Grid Communication Networks

arXiv (Cornell University)

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.

Authors 5

1. Ömer Sen Aachen

   RWTH Aachen University

   Affiliation as printed

   Fraunhofer FIT , Aachen , Germany

   RWTH Aachen University , Aachen , Germany -

2. Mehdi Akbari Gurabi Aachen

   RWTH Aachen University

   Affiliation as printed

   Fraunhofer FIT , Aachen , Germany

   RWTH Aachen University , Aachen , Germany -

3. Milan Deruelle Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University , Aachen , Germany -

4. Andreas Ulbig Aachen

   RWTH Aachen University

   Affiliation as printed

   Fraunhofer FIT , Aachen , Germany

   RWTH Aachen University , Aachen , Germany -

5. Stefan Decker Aachen

   RWTH Aachen University

   Affiliation as printed

   Fraunhofer FIT , Aachen , Germany

   RWTH Aachen University , Aachen , Germany -