Fraud and Malware Detection in Google Play by using Search Rank - International Journal of Trend in Scientific Research and Development

IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas. For any further information, feel free to write us on editor.ijtsrd@gmail.com

Tuesday, 27 October 2020

Fraud and Malware Detection in Google Play by using Search Rank

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. . Fair Play discovers hundreds of fraudulent apps that currently evade Google Bouncer’s detection technology. 

by A. Brahma Reddy | K. V. Ranga Rao | V. Vinay Kumar "Fraud and Malware Detection in Google Play by using Search Rank" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, 

URL: https://www.ijtsrd.com/papers/ijtsrd35728.pdf

Paper Url: https://www.ijtsrd.com/computer-science/computer-network/35728/fraud-and-malware-detection-in-google-play-by-using-search-rank/a-brahma-reddy

internationaljournalofscience, openaccessjournalofscience, ugcapprovedjournalsforscience 

No comments:

Post a Comment

Ad