Detecting Privacy Leaks in Android Hybrid Applications Based on Dynamic Taint Tracking-Reference-Cited by-同舟云学术

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Detecting Privacy Leaks in Android Hybrid Applications Based on Dynamic Taint Tracking

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 19th International Conference on Embedded and Ubiquitous Computing (EUC)
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Author:

Tang Junwei¹,Li Ruixuan²,Xiong Zhiqiang²,Han Hongmu³,Gu Xiwu²

Affiliation:

1. Engineering Research Center of Hubei Province for Clothing Information, Wuhan Textile University

2. School of Computer Science and Technology, Huazhong University of Science and Technology

3. School of Computer Science, Hubei University of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9741746/9741859/09742164.pdf?arnumber=9742164

Reference28 articles.

1. On tracking mformation flows through jni in android applications;qian;44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN),2014

2. Amandroid

3. Droidscope: Seamlessly reconstructing the os and dalvik semantic views for dynamic android malware analysis;yan;Proceedings of the 21st USENIX Conference on Security Symposium,2012

4. AppIntent

5. Efficient, context-aware privacy leakage confinement for android applications without firmware modding

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