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. © 2013 Springer International Publishing.
CITATION STYLE
Abdelrahman, O. H., Gelenbe, E., Görbil, G., & Oklander, B. (2014). Mobile network anomaly detection and mitigation: The NEMESYS approach. In Lecture Notes in Electrical Engineering (Vol. 264 LNEE, pp. 429–438). Springer Verlag. https://doi.org/10.1007/978-3-319-01604-7_42
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