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An efficient approach for taint analysis of android applications

  • Published:2021-05 Issue: Volume:104 Page:102161
  • ISSN:0167-4048
  • Container-title:Computers & Security
  • language:en
  • Short-container-title:Computers & Security

Author:

Zhang Jie,Tian Cong,Duan Zhenhua

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference50 articles.

1. Droidapiminer: Mining api-level features for robust malware detection in android;Aafer,2013

2. Androzoo: Collecting millions of android apps for the research community;Allix,2016

3. Improving data-flow analysis with path profiles;Ammons;Acm Sigplan Notices,1998

4. Static data flow analysis for android applications;Arzt,2017

5. Flowdroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for android apps;Arzt;Acm Sigplan Notices,2014

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1. A comprehensive framework for inter-app ICC security analysis of Android apps;Automated Software Engineering;2024-06-04

2. Automated GDPR compliance assessment for cross-border personal data transfers in android applications;Computers & Security;2023-07

3. A vulnerability detection method based on sparse value flow graphs;Proceedings of the 2023 2nd International Conference on Networks, Communications and Information Technology;2023-06-16

4. MiniTracker: Large-Scale Sensitive Information Tracking in Mini Apps;IEEE Transactions on Dependable and Secure Computing;2023

5. AndroMalPack: enhancing the ML-based malware classification by detection and removal of repacked apps for Android systems;Scientific Reports;2022-11-14
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