Providing Mobile Traffic Analysis As-a-service: Design of a Service-based Infrastructure to Offer High-accuracy Traffic Classifiers Based on Hardware Accelerators

作者: Antonino Vespoli , Antonino Mazzeo , Alessandra De Benedictis , Mario Barbareschi

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摘要: Mobile traffic is significantly growing, thanks to the increased access capacity provided by 3G and 4G technologies rising computing power of latest smart devices. Due widespread diffusion mobile applications that require process sensitive customers' data, more subject security attacks. Recently, analysis techniques are being successfully adopted characterize, from a point view, applications' networks' behaviour in order detect avoid intrusion attempts, malware injections data theft. When applied domain, such have cope on one hand with performance constraints posed limited devices' resources and, other hand, need for accurate up-to-date models, resulting continuous processing meaningful threat-related information. To face these issues, we propose two-tier service-based infrastructure: at network layer, devices run high-accuracy hardware analyser, which allows large sets an energy-efficient way; service high-scale analyser takes advantage correlation involving heterogeneous geographically distributed sources, produce enhanced can be on-demand fashion, according as-a- Service approach.

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