A Deep Learning Based Android Malware Detection System with Static Analysis-Reference-Cited by-同舟云学术

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A Deep Learning Based Android Malware Detection System with Static Analysis

Published:2022-06-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
language:
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Author:

Bayazit Esra Calik¹,Sahingoz Ozgur Koray²,Dogan Buket³

Affiliation:

1. Fatih Sultan Mehmet Vakif University, Marmara University Institute of Science,Computer Engineering Department,Istanbul,Turkey

2. Biruni University,Computer Engineering Department,Istanbul,Turkey

3. Marmara University,Faculty of Technology,Department of Computer Engineering,Istanbul,Turkey

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9799780/9799803/09800057.pdf?arnumber=9800057

Reference29 articles.

1. AMC-MDL: A Novel Approach of Android Malware Classification using Multimodel Deep Learning

2. An Android Malware Detection Method Using Deep Learning Based on API Calls

3. Static Analysis of Android Malware Detection using Deep Learning

4. A Novel Preprocessing Method for Solving Long Sequence Problem in Android Malware Detection

5. Android Malware Detection Using Deep Learning

Cited by 11 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. A comprehensive review on permissions-based Android malware detection;International Journal of Information Security;2024-03-04

2. Android malware: Understanding the growing threat landscape and safeguarding measures;AIP Conference Proceedings;2024

3. Enhancing Mobile Security through Comprehensive Penetration Testing;Journal of Information Security;2024

4. A Systematic Review and Future Perspective of Android Malware Detection Based Machine Learning Techniques;2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG);2023-12-08

5. A Comparative Analysis of Android Malware Detection Using Deep Learning;Communications in Computer and Information Science;2023-12-03

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