Mobile network anomaly detection and mitigation: the NEMESYS approach

Title: Mobile network anomaly detection and mitigation: the NEMESYS approach
Creator: Abdelrahman, Omer H.; Gelenbe, Erol; Gorbil, Gokce; Oklander, Boris
Relation: 28th International Symposium on Computer and Information Sciences. Information Sciences and Systems 2013: Proceedings of the 28th International Symposium on Computer and Information Sciences (Paris, France 28-29 October, 2013) p. 429-438
Publisher Link: http://dx.doi.org/10.1007/978-3-319-01604-7_42
Publisher: Springer
Resource Type: conference paper
Date: 2013
Description: 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.
Identifier: http://hdl.handle.net/1959.13/1357098
Identifier: uon:31874
Identifier: ISBN:9783319016030
Language: eng
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