End-To-End Android Malware Classification Based on Pure Traffic Images-Reference-Cited by-同舟云学术

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End-To-End Android Malware Classification Based on Pure Traffic Images

Published:2020-12-18 Issue: Volume: Page:
ISSN:
Container-title:2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
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Author:

Yujie Peng¹,Weina Niu¹,Xiaosong Zhang¹,Jie Zhou¹,Wu Hao¹,Ruidong Chen¹

Affiliation:

1. School of Computer Science and Engineering, University of Electronic Science and Technology of China,Chengdu,China,611731

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9317007/9317311/09317489.pdf?arnumber=9317489

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. Android Malware Classification Based on Fuzzy Hashing Visualization;Machine Learning and Knowledge Extraction;2023-11-28

2. Machine Learning-Powered Encrypted Network Traffic Analysis: A Comprehensive Survey;IEEE Communications Surveys & Tutorials;2023

3. Android Ransomware Analysis Using Convolutional Neural Network and Fuzzy Hashing Features;IEEE Access;2023

4. A malicious traffic detection method based on Bayesian meta-learning for few samples;International Journal of Embedded Systems;2023

5. A Dual-Branch Self-attention Method for Mobile Malware Detection via Network Traffic;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

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