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Uncovering Download Fraud Activities in Mobile App Markets

Authors :
Dou, Yingtong
Li, Weijian
Liu, Zhirong
Dong, Zhenhua
Luo, Jiebo
Yu, Philip S.
Publication Year :
2019

Abstract

Download fraud is a prevalent threat in mobile App markets, where fraudsters manipulate the number of downloads of Apps via various cheating approaches. Purchased fake downloads can mislead recommendation and search algorithms and further lead to bad user experience in App markets. In this paper, we investigate download fraud problem based on a company's App Market, which is one of the most popular Android App markets. We release a honeypot App on the App Market and purchase fake downloads from fraudster agents to track fraud activities in the wild. Based on our interaction with the fraudsters, we categorize download fraud activities into three types according to their intentions: boosting front end downloads, optimizing App search ranking, and enhancing user acquisition&retention rate. For the download fraud aimed at optimizing App search ranking, we select, evaluate, and validate several features in identifying fake downloads based on billions of download data. To get a comprehensive understanding of download fraud, we further gather stances of App marketers, fraudster agencies, and market operators on download fraud. The followed analysis and suggestions shed light on the ways to mitigate download fraud in App markets and other social platforms. To the best of our knowledge, this is the first work that investigates the download fraud problem in mobile App markets.<br />Comment: Published as a conference paper in IEEE/ACM ASONAM 2019

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1907.03048
Document Type :
Working Paper
Full Text :
https://doi.org/10.1145/3341161.3345306