Risk Score for Mobile Application

Now days because the use of humanoid mobile devices square measure increasing speedily day by day, immense range of mobile apps square measure returning into the market. These apps raise the user access to numerous forms of permissions, and additionally several of those perform a similar task. The user comes in danger with presence of some malicious app as a result of access of permission it'll get, as humanoid provides a stand –alone defence reaction with regard to malicious apps. Wherever it warns the user concerning the permissions the app needs, trusting that the user can create correct call, which needs the user to own the technical information and time, that isn't user friendly for every user. Additionally classification of those apps is helpful in understanding the user preferences and might encourage the intelligent personalised services. However to effectively classify the app may be a nontrivial task as restricted discourse data is out there.To address these 2 problems Associate in Android Security approach is planned wherever the apps are classified 1st victimization the enriched discourse data from net program, then with the discourse options from the context-rich device logs of mobile users and conniving the danger score for the app so as to get a user friendly metric for the user to use once selecting the app. This can facilitate android apps to induce effective classification of the mobile apps and shield the user’s mobile devices from malicious apps.