Search Rank Fraud and Malware Detection in Google Play Application
Author(s):
NISHA .R, DR. R. SUBHA, V. BALAMURUGAN
ISSN:
2349-6002
Cite This Article:
Search Rank Fraud and Malware Detection in Google Play ApplicationInternational Journal of Innovative Research in Technology(www.ijirt.org) ,ISSN: 2349-6002 ,Volume 5 ,Issue 12 ,Page(s):413-419 ,May 2019 ,Available :IJIRT148112_PAPER.pdf
Keywords:
Graph Mining, Co-Review Mining, Clustering, FairPlay, Security, Clique detection.
Abstract
The survey of FairPlay and a novel system 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 in order to identify suspicious apps. Adversaries can have chances to launch attacks by gathering victim’s information continuously. This survey describe that an adversary can successfully infer a victim’s vertex identity and community identity by the knowledge of degrees within a time period. The survey also recommend to a new supervised clustering algorithm to find groups of data cluster. It directly incorporates the information of sample categories into the fraud clustering process.
Article Details
Unique Paper ID: 148112

Publication Volume & Issue: Volume 5, Issue 12

Page(s): 413 - 419
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