• Chigurla Yogender

In this paper, we propose Fraudulent behaviors in Google Play, the most popular Android app market, fuel search rank abuse and malwareproliferation. To identify malware, previous work has focused on app executable and permission analysis. In this paper, we introduceFairPlay, a novel system that discovers and leverages traces left behind by fraudsters, to detect both malware and apps subjected tosearch rank fraud. FairPlay correlates review activities and uniquely combines detected review relations with linguistic and behavioralsignals gleaned from Google Play app data (87K apps, 2.9M reviews, and 2.4M reviewers, collected over half a year), in order toidentify suspicious apps. FairPlay achieves over 95% accuracy in classifying gold standard datasets of malware, fraudulent andlegitimate apps. We show that 75% of the identified malware apps engage in search rank fraud. FairPlay discovers hundreds offraudulent apps that currently evade Google Bouncer’s detection technology. FairPlay also helped the discovery of more than 1,000reviews, 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.

"SEARCH FRAUD RANK AND MALWARE DETECTION IN GOOGLE PLAY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.360-363, September-2018, Available :http://www.jetir.org/papers/JETIRE006059.pdf

"SEARCH FRAUD RANK AND MALWARE DETECTION IN GOOGLE PLAY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp360-363, September-2018, Available at : http://www.jetir.org/papers/JETIRE006059.pdf