Fair Play Technology Using In Search Rank Fraud and Malware Detection in Google

Authors(2) :-S. Hema Latha, Manepalli Prasanth Kumar

Fraudulent behaviors in Google Play, the most popular Android app market, fuel search rank abuse and malware proliferation. To identify malware, previous work has focused 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 search rank fraud. FairPlay correlates review activities and uniquely combines detected review relations with linguistic and behavioral signals gleaned from Google Play app data (87K apps, 2.9M reviews, and 2.4M reviewers, collected over half a year), in order to identify suspicious apps. FairPlay achieves over 95% accuracy in classifying gold standard datasets of malware, fraudulent and legitimate apps. We show that 75% of the identified malware apps engage in search rank fraud. FairPlay discovers hundreds of fraudulent apps that currently evade Google Bouncer’s detection technology. FairPlay also helped the discovery of more than 1,000 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.

Authors and Affiliations

S. Hema Latha
MCA Department, Vignan's Lara Institute of Technology and Science, Vadlamudi, Guntur, Andhra Pradesh, India
Manepalli Prasanth Kumar
MCA Department, Vignan's Lara Institute of Technology and Science, Vadlamudi, Guntur, Andhra Pradesh, India

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Publication Details

Published in : Volume 4 | Issue 2 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 77-80
Manuscript Number : CSEIT1833617
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

S. Hema Latha, Manepalli Prasanth Kumar, "Fair Play Technology Using In Search Rank Fraud and Malware Detection in Google ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 2, pp.77-80, March-April.2018
URL : http://ijsrcseit.com/CSEIT1833617

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