Encryption-Aware Anomaly Detection in Power Grid Communication Networks
Fuente:
arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866916510739464192 |
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| author | Sen, Omer Gurabi, Mehdi Akbari Deruelle, Milan Ulbig, Andreas Decker, Stefan |
| author_facet | Sen, Omer Gurabi, Mehdi Akbari Deruelle, Milan Ulbig, Andreas Decker, Stefan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_04901 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Encryption-Aware Anomaly Detection in Power Grid Communication Networks Sen, Omer Gurabi, Mehdi Akbari Deruelle, Milan Ulbig, Andreas Decker, Stefan Cryptography and Security 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. |
| title | Encryption-Aware Anomaly Detection in Power Grid Communication Networks |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2412.04901 |