- 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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