Feature selection and ensemble of classifiers for Android malware detection-Reference-Cited by-同舟云学术

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Feature selection and ensemble of classifiers for Android malware detection

Published:2016-11 Issue: Volume: Page:
ISSN:
Container-title:2016 8th IEEE Latin-American Conference on Communications (LATINCOM)
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Author:

Coronado-De-Alba Lilian D.,Rodriguez-Mota Abraham,Escamilla-Ambrosio Ponciano J.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7799493/7811551/07811605.pdf?arnumber=7811605

Cited by 22 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. Ransomware Detection Model Based on Adaptive Graph Neural Network Learning;Applied Sciences;2024-05-27

2. PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection;Scientific Reports;2024-05-10

3. Real-Time Ransomware Detection Method Based on TextGCN;2023 6th International Conference on Artificial Intelligence and Big Data (ICAIBD);2023-05-26

4. SecuSCADA: Building Secure SCADA Network with Obfuscated Malware Detection Technique;2023 11th International Conference on Emerging Trends in Engineering & Technology - Signal and Information Processing (ICETET - SIP);2023-04-28

5. Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism;Scientific Reports;2023-02-22

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