Mobile Network Anomaly Detection and Mitigation: The NEMESYS Approach

Omer H. Abdelrahman; Erol Gelenbe; Gökçe Görbil; Boris Oklander

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arXiv · 1305.4210

Mobile Network Anomaly Detection and Mitigation: The NEMESYS Approach

Omer H. Abdelrahman·Erol Gelenbe·Gökçe Görbil·Boris Oklander

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Abstract

Mobile malware and mobile network attacks are becoming a significant threat that accompanies the increasing popularity of smart phones and tablets. Thus in this paper we present our research vision that aims to develop a network-based security solution combining analytical modelling, simulation and learning, together with billing and control-plane data, to detect anomalies and attacks, and eliminate or mitigate their effects, as part of the EU FP7 NEMESYS project. These ideas are supplemented with a careful review of the state-of-the-art regarding anomaly detection techniques that mobile network operators may use to protect their infrastructure and secure users against malware.

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Omer H. Abdelrahman, Erol Gelenbe, Gökçe Görbil, Boris Oklander. 2013-05-18. Mobile Network Anomaly Detection and Mitigation: The NEMESYS Approach. https://arxiv.org/abs/1305.4210

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