Improved Search for Fraud and Malware Detection in Google Play

Fraudulent behaviors in Google Play, the foremost widespread automaton app market, fuel search rank abuse and malware proliferation. To spot malware, previous work has centered on app viable and permission analysis. During this paper, we have a tendency to introduce FairPlay, a unique system that discovers and leverages traces left behind by fraudsters, to discover each malware and apps subjected to search rank fraud. FairPlay correlates review activities and unambiguously combines detected review relations with linguistic and behavioral signals gleaned from Google Play app information so as to identify suspicious apps. FairPlay achieves over 95th accuracy in classifying gold customary datasets of malware, dishonest and. We go for broad read by applying some technique to each application to gauge its ranking. In this paper we discovered ranking fraud for mobile applications, we develop a necessity to create a perfect, fraud less and result that shows corrected application accordingly offer ranking; wherever we tend to truly create it happen by looking out fraud of applications. They create fraud by downloading application through numerous devices and provide fraud ratings and reviews. So, as we tend to aforesaid on top of here we've got to mine crucial information relating specific application like review that we tend to aforesaid comments and conjointly such a lot of alternative data we've got to mine and place rule to find fakeness in application rank.