A Large Scale Investigation of Obfuscation Use in Google Play

Author:

Wermke Dominik1,Huaman Nicolas1,Acar Yasemin1,Reaves Bradley2,Traynor Patrick3,Fahl Sascha4

Affiliation:

1. Leibniz University Hannover

2. North Carolina State University

3. University of Florida

4. Ruhr-University Bochum

Publisher

ACM

Cited by 46 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. Function-Level Code Obfuscation Detection Through Self-Attention-Guided Multi-Representation Fusion;International Journal of Software Engineering and Knowledge Engineering;2023-12-11

2. Use of cryptography in malware obfuscation;Journal of Computer Virology and Hacking Techniques;2023-09-25

3. Characterizing the Use of Code Obfuscation in Malicious and Benign Android Apps;Proceedings of the 18th International Conference on Availability, Reliability and Security;2023-08-29

4. Precise and Efficient Patch Presence Test for Android Applications against Code Obfuscation;Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis;2023-07-12

5. Beyond the Model: Data Pre-processing Attack to Deep Learning Models in Android Apps;Proceedings of the 2023 Secure and Trustworthy Deep Learning Systems Workshop;2023-07-10

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