FlowIntent: Detecting Privacy Leakage from User Intention to Network Traffic Mapping
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7731571/7732953/07732993.pdf?arnumber=7732993
Cited by 6 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. Withdrawing is believing? Detecting Inconsistencies between Withdrawal Choices and Third-party Data Collections in Mobile Apps;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19
2. Identifying Cross-User Privacy Leakage in Mobile Mini-Apps at a Large Scale;IEEE Transactions on Information Forensics and Security;2024
3. 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
4. Collect Responsibly But Deliver Arbitrarily?;Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security;2022-11-07
5. 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
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