Determination of Ranking Fraud for Mobile Applications

Abstract

Mobile application is important for all the smart phone users to play or perform different tasks .There large numbers of mobile application developers are available; they can develop the different mobile applications. For making lager users for their mobile applications some developers refers fraudulent activities. Due to these fraudulent activities the mobile applications jump up in the application popularity list. Such fraudulent activities are used by more and more application developers. The fraudulent activities are like mobile application rating, review and its ranking. For this issue large number of users makes a mistake and downloads the mobile applications which have higher review, rating and ranking. So in this paper, we determine the ranking fraud happens in mobile applications and develop ranking fraud detection system. For identifying the ranking fraud, first we consider leading sessions of mobile applications. Then we examine three types of evidences, these are 1) Ranking based evidence, 2) Rating based evidence and 3) Review based evidence. After this we can aggregate all these evidences for fraud detection. Finally, we develop a system that determines fraud happened in mobile applications.