IJRCS – Volume 1 Issue 4 Paper 5

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APP RANK FRAUD AND MALWARE DETECTION USING FUZZY LOGIC

Author’s Name : A Blessy | T B Dharmaraj

Volume 01 Issue 04  Year 2014  ISSN No:  2349-3828  Page no:  18-20

12

Abstract:

FairPlay using Fuzzy Logic is introduced, 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 behavioural 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.

Keywords:

Fuzzy Logic, Android Market, Malware Detection, Rank Fraud

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