A Context-Adaptive Security Framework for Mobile Cloud Computing

Abstract

Mobile cloud computing is an emerging area in the cloud computing paradigm, comprising several modes of communication that are governed by varying security standards. WBAN (Wireless Body Area Networks), RFID (Radio Frequency IDentification) and VANET (Vehicular Ad-hoc NETworks) are three example applications that could be based on mobile cloud computing. Considering the fact that the security mechanisms in different applications are highly heterogeneous while the cloud server is common to these applications, we devised a context-adaptive security framework that could be deployed at the cloud premises to provide an additional security layer to mobile cloud computing systems. Furthermore, the framework provides varied techniques to improve the quality of service and reliability of mobile cloud computing. Technically, this multicomponent context-adaptive framework accepts the traffic in different communication modes, prevents attacks by randomly choosing pre-defined algorithms, learns from previous attacks using cognitive model, and rearranges the cloud service model as a self-healing system.