Dynamic behavior analysis of android applications for malware detection-Reference-Cited by-同舟云学术

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Dynamic behavior analysis of android applications for malware detection

Published:2017-12 Issue: Volume: Page:
ISSN:
Container-title:2017 International Conference on Intelligent Communication and Computational Techniques (ICCT)
language:
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Author:

Singh Latika,Hofmann Markus

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8318445/8324009/08324010.pdf?arnumber=8324010

Cited by 23 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. Applications of spiking neural P systems in cybersecurity;Journal of Membrane Computing;2024-08-13

2. IPAnalyzer: A novel Android malware detection system using ranked Intents and Permissions;Multimedia Tools and Applications;2024-03-01

3. Machine Learning for Android Malware Detection: Mission Accomplished? A Comprehensive Review of Open Challenges and Future Perspectives;Computers & Security;2024-03

4. Hybrid machine learning model for malware analysis in android apps;Pervasive and Mobile Computing;2024-01

5. DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode;IEEE Transactions on Software Engineering;2023-10-01

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