PROJECT TITLE :
Search Rank Fraud and Malware Detection in Google Play - 2017
Fraudulent behaviors in Google Play, the foremost widespread Android app market, fuel search rank abuse and malware proliferation. To spot malware, previous work has centered on app executable and permission analysis. In this paper, we introduce FairPlay, a novel system that discovers and leverages traces left behind by fraudsters, to detect both malware and apps subjected to go looking rank fraud. FairPlay correlates review activities and uniquely combines detected review relations with linguistic and behavioral signals gleaned from Google Play app information (eighty seven K apps, 2.nine M reviews, and a pair of.4M reviewers, collected over half a year), in order to identify suspicious apps. FairPlay achieves over 95 p.c accuracy in classifying gold commonplace datasets of malware, fraudulent and bonafide apps. We have a tendency to show that 75 % of the identified malware apps interact in search rank fraud. FairPlay discovers tons of fraudulent apps that currently evade Google Bouncer's detection technology. FairPlay also helped the discovery of more than one,00zero reviews, reported for 193 apps, that reveal a new type of “coercive” review campaign: users are harassed into writing positive reviews, and install and review other apps.
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