A Comparative Performance Analysis of Android Malware Classification Using Supervised and Semi-supervised Deep Learning-Reference-Cited by-同舟云学术

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A Comparative Performance Analysis of Android Malware Classification Using Supervised and Semi-supervised Deep Learning

Published:2023-11-20 Issue: Volume:89 Page:1-8
ISSN:
Container-title:2023 16th International Conference on Security of Information and Networks (SIN)
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Author:

Hossain Md Sharafat¹,Hossain Md Delwar²,Rahman Md Mahbubur³,Taenaka Yuzo²,Islam Md Saiful¹,Kadobayashi Youki²

Affiliation:

1. Institute of Information and Communication Technology Bangladesh University of Engineering and Technology,Dhaka,Bangladesh

2. Division of Information Science Nara Institute of Science and Technology,Ikoma,Nara,Japan

3. Military Institute of Science and Technology,Department of Computer Science and Engineering,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10474597/10474609/10474639.pdf?arnumber=10474639

Reference30 articles.

1. Mobile cyberthreat report for 2022-securelist;SHISHKOVA,2023

2. Android Security: A Survey of Issues, Malware Penetration, and Defenses

3. A Survey and Evaluation of Android-Based Malware Evasion Techniques and Detection Frameworks

4. Android malware classification using optimum feature selection and ensemble machine learning

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