Using text mining to infer the purpose of permission use in mobile apps-Reference-Cited by-同舟云学术

Using text mining to infer the purpose of permission use in mobile apps

Published:2015 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '15
language:
Short-container-title:

Author:

Wang Haoyu¹,Hong Jason²,Guo Yao¹

Affiliation:

1. Peking University

2. Carnegie Mellon University

Funder

National Science Foundation

National Natural Science Foundation of China

High-Tech Research and Development Program (863) of China

Publisher

ACM Press

Reference51 articles.

1. PrivacyGrade: Grading The Privacy of Smartphone Apps. http://privacygrade.org/.

2. Almuhimedi, H., Schaub, F., Sadeh, N., Adjerid, I., Acquisti, A., Gluck, J., Cranor, L. F., and Agarwal, Y. Your location has been shared 5,398 times!: A field study on mobile app privacy nudging. InProceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15)(2015), 787--796.

3. Amini, S., Lin, J., Hong, J. I., Lindqvist, J., and Zhang, J. Mobile application evaluation using automation and crowdsourcing. InProceedings of the PETools(2013).

4. Apktool: a tool for reverse engineering Android apk files. https://code.google.com/p/android-apktool/.

5. WikipediaApp Store (iOS). http://en.wikipedia.org/wiki/App_Store_%28iOS%29.

Cited by 45 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Matcha;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-03-06

2. No Source Code? No Problem! Demystifying and Detecting Mask Apps in iOS;INT C PROGRAM COMPRE;2024

3. APIMind: API-driven Assessment of Runtime Description-to-permission Fidelity in Android Apps;2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE);2023-10-09

4. How Android Apps Break the Data Minimization Principle: An Empirical Study;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

5. Machine Learning in Sport Social Media Research: Practical Uses and Opportunities;International Journal of Sport Communication;2023