Search Rank Fraud and Malware Detection in Google Play |
Author(s): |
| Priyanka Madan Kathe , LoGMIEER,Nashik; Supriya Dilip Kale, LoGMIEER,Nashik; Harshali Sunil Patil, LoGMIEER,Nashik; Dhanashree Jitendra Chumbhale, LoGMIEER,Nashik |
Keywords: |
| Search Rank Fraud, Malware Detection in Google Play |
Abstract |
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Fraudulent behaviour in Google Play, the foremost widespread golem app market, fuel search rank abuse and malware proliferation. To identify malware, previous work has targeted on app practicable and permission analysis [1]. Throughout this paper, we have a tendency to tend to introduce FairPlay, a novel system that discovers and leverages traces left behind by fraudsters, to find every malware and apps subjected to go looking rank fraud [1]. FairPlay correlates review activities and unambiguously combines detected review relations with linguistic and activity signals gleaned from Google Play app information (87K apps, 2.9M reviews, and 2.4M reviewers, collected over 0.5 a year), thus on determine suspicious apps. FairPlay achieves over ninety fifth accuracy in classifying gold traditional datasets of malware, dishonest and Bonafide apps [2]. |
Other Details |
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Paper ID: IJSRDV5I70269 Published in: Volume : 5, Issue : 7 Publication Date: 01/10/2017 Page(s): 554-557 |
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