2013/05/18 by Omer H. Abdelrahman, Abdelrahman, Omer H., Erol Gelenbe +5
Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI) #cs.CR #cs.NI
paper · pdf · doi:10.48550/arxiv.1305.4210
To Appear in the Proceedings of the 28th International Symposium on Computer and Information Sciences (ISCIS 2013), Springer LNEE
arxiv created 2013/05/18 · arxiv updated 2013/05/21
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.