Android malware detection based on a novel mixed bytecode image combined with attention mechanism-Reference-Cited by-同舟云学术

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Android malware detection based on a novel mixed bytecode image combined with attention mechanism

Published:2024-05 Issue: Volume:82 Page:103721
ISSN:2214-2126
Container-title:Journal of Information Security and Applications
language:en
Short-container-title:Journal of Information Security and Applications

Author:

Tang Junwei^ORCID,Xu Wei,Peng Tao,Zhou Sijie,Pi Qiaosen,He Ruhan,Hu Xinrong

Publisher

Elsevier BV

Reference46 articles.

1. Mobile operating system market share world-wide—October 2019[eb/ol]. (2019 - 10);Statcounter,2019

2. https://zt.360.cn/1101061855.php?-dtid=1101061451&did=210935462.

3. Michael S, Florian E, Thomas S, Felix CF, Hoffmann J. Mobilesandbox: looking deeper into android applications. In: Proceedings of the 28th international ACM symposium on applied computing. 2013, p. 1808–15.

4. A bio-inspired feature optimization based android malware detection method;Xiaochen;Comput Appl Softw,2022

5. A heterogeneous model fusion-based malware detection method for Android terminals;Yao;Comput Sci,2022

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