Enhancing the Sustainability of Machine Learning-Based Malware Detection Techniques for Android Applications
The rapid increase in smartphone usage has led to a corresponding rise in malicious Android applications, making it important to develop efficient and sustainable malware detection methods that maintain high accuracy. This paper presents a two-stage machine learning approach aimed at improving both...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11023590/ |
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