Mining Mobile Security Concerns and their Solutions

Mobile devices are now an important part of our lives. In many respect mobile devices make our life easier and increases our working capabilities, but with the increased usage many security concerns are also introduced. Most of these concerns are related to mobile technologies like 3G, 4G etc., and security and privacy of users. In this study, we identified the eleven major security concerns associated with mobile devices that are reported in research literature and performed risk analysis on identified concerns to propose detection and mitigation strategy. Furthermore, we developed the corpus of research literature on mobile devices, security concerns to identify the most important security concerns by using word frequency. The concerns which are most discussed by the researchers are more important. Finally, based results of text mining, we proposed a framework to detect, mitigate and address the security concerns. For benchmarking, we evaluate the proposed framework with the results of various research papers and found that our framework is more effective as it is covering more dimensions of mobile security.