Call For Paper Volume:4 Issue:10 Oct'2017 |

Using Enriched Contextual Information of App Context for Risk Score Based App Classification

Publication Date : 10/07/2015



Author(s) :

Miss. Prajakta Lokhande , Mr. Shivaji Lahane.


Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India



Abstract :

Large numbers of mobile apps with similar functionality are coming into the market due to the increasing use of mobile devices. Classifying these apps is useful to understand the user preferences which can motivate the intelligent personalized services and also while selecting the application. But turns out be a nontrivial task as limited information about the apps is directly available. In this paper we have presented a method to classify the mobile apps using the information collected from the various sources like information from apps name, search engine, contextual usage history collected from the user’s usage record and also the permissions of the app. This will provide us a secure and effective classification of the apps as most of these apps come from an unknown vendor and so there is higher possibility of them being malicious. Keywords- Mobile apps, Classification, Security, Risk score, Enriched


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