Search Rank Fraud and Malware Detection in Google play using Finer Cluster process

Abstract

The commercial success of Android app markets such as Google Play and the incentive model they offer to popular apps, make them appealing targets for fraudulent and malicious behaviours. Some fraudulent developers deceptively boost the search rank and popularity of their apps while malicious developers use app markets as a launch pad for their malware. In this project, introduce FairPlay , a novel system that discovers and leverages traces left behind by fraudsters, to detect both malware and apps subjected to search rank fraud. This project shows that an adversary can successfully infer a victim’s vertex identity and community identity by the knowledge of degrees within a time period. The project also includes a new supervised clustering algorithm to find groups of data (coarse and finer cluster). It directly incorporates the information of sample categories into the fraud clustering process.