Abstract
Have you ever thought of earning profits from the apps that you are using on your mobile device? It is actually achievable thanks to many so-called money-making apps, which pay app users to complete tasks such as installing another app or clicking an advertisement. To the best of our knowledge, no existing studies have investigated the characteristics of moneymaking apps. To this end, we conduct the first exploratory study to understand the features and implications of money-making apps. We first propose a semi-Automated approach aiming to harvest money-making apps from Google Play and alternative app markets. Then we create a taxonomy to classify them into five categories and perform an empirical study from different aspects. Our study reveals several interesting observations: (1) moneymaking apps have become the target of malicious developers, as we found many of them expose mobile users to serious privacy and security risks. Roughly 26% of the studied apps are potentially malicious. (2) these apps have attracted millions of users, however, many users complain that they are cheated by these apps. We also revealed that ranking fraud techniques are widely used in these apps to promote the ranking of apps inside app markets. (3) these apps usually spread inappropriate and malicious contents, while unsuspicious users could get infected. Our study demonstrates the emergency for detecting and regulating this kind of apps and protect mobile users.
Original language | English |
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Title of host publication | Proceedings of the 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering |
Editors | Xinyu Wang, David Lo, Emad Shihab |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 332-343 |
Number of pages | 12 |
ISBN (Electronic) | 9781728105918 |
ISBN (Print) | 9781728105925 |
DOIs | |
Publication status | Published - 2019 |
Event | IEEE International Conference on Software Analysis, Evolution, and Reengineering 2019 - Hangzhou, China Duration: 24 Feb 2019 → 27 Feb 2019 Conference number: 26th https://saner2019.github.io/ https://ieeexplore.ieee.org/xpl/conhome/8663526/proceeding (Proceedings) |
Conference
Conference | IEEE International Conference on Software Analysis, Evolution, and Reengineering 2019 |
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Abbreviated title | SANER 2019 |
Country/Territory | China |
City | Hangzhou |
Period | 24/02/19 → 27/02/19 |
Internet address |
Keywords
- Android
- Malware
- Mobile Ads
- Mobile Security
- Money-making apps
- Pay-Per-Install