Measuring User Perception for Detecting Unexpected Access to Sensitive Resource in Mobile Apps

Author:

Nguyen Trung Tin1,Nguyen Duc Cuong1,Schilling Michael1,Wang Gang2,Backes Michael1

Affiliation:

1. CISPA Helmholtz Center for Information Security, Saarbrücken, Germany

2. University of Illinois at Urbana-Champaign, Urbana, IL, USA

Publisher

ACM

Cited by 5 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. Fine-Grained In-Context Permission Classification for Android Apps Using Control-Flow Graph Embedding;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

2. 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

3. BCGen: a comment generation method for bytecode;Automated Software Engineering;2022-12-10

4. Right to Know, Right to Refuse: Towards UI Perception-Based Automated Fine-Grained Permission Controls for Android Apps;Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering;2022-10-10

5. PriApp-Install: Learning User Privacy Preferences on Mobile Apps’ Installation;Information Security Practice and Experience;2022

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