Enhancing the accuracy of static analysis for detecting sensitive data leakage in Android by using dynamic analysis-Reference-Cited by-同舟云学术

Enhancing the accuracy of static analysis for detecting sensitive data leakage in Android by using dynamic analysis

Published:2017-11-24 Issue:S1 Volume:22 Page:1079-1085
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Tuan Ly Hoang,Cam Nguyen Tan,Pham Van-Hau

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

http://link.springer.com/content/pdf/10.1007/s10586-017-1364-8.pdf

Reference20 articles.

1. ApkTool. https://ibotpeaches.github.io/Apktool/

2. Sanz, B., Santos, I., Ugarte-Pedrero, X., Laorden, C., Nieves, J., Bringas, PG.: Instance-Based Anomaly Method for Android Malware Detection. In: SECRYPT, pp. 387–394. SciTe Press (2013)

3. Bugiel, S., Davi, L., Dmitrienko, A., Fischer, T., Sadeghi, A.-R.: XManDroid: A New Android Evolution to Mitigate Privilege Escalation Attacks. Technische Universitt Darmstadt Technical Report of Center for Advanced Security Research Darmstadt (2011)

4. CERT Division of the Software Engineering Institute (SEI), DidFail: Android Taint Flow Analysis. https://www.cert.org/secure-coding/tools/didfail.cfm

5. Zheng, C., Zhu, S., Dai, S., Gu, G., Gong, X., Han, X., Zou, W.: SmartDroid: an automatic system for revealing UI-based trigger conditions in android applications, In Proceedings of the second ACM workshop on Security and privacy in smartphones and mobile devices (SPSM ’12), pp. 93–94 (2012)

Cited by 7 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. Sensitive and Personal Data: What Exactly Are You Talking About?;2023 IEEE/ACM 10th International Conference on Mobile Software Engineering and Systems (MOBILESoft);2023-05

2. A taint analysis framework applied to android applications in the packed state;China Communications;2023-03

3. A Survey of Android Malware Detection Based on Deep Learning;Machine Learning for Cyber Security;2023

4. Android Permission Classifier: a deep learning algorithmic framework based on protection and threat levels;Security and Privacy;2021-05-05

5. Android security assessment: A review, taxonomy and research gap study;Computers & Security;2021-01