Artificial intelligence-driven detection of android malware using machine learning techniques
The rapid expansion of Android smartphones and their open-source characteristics have rendered them a primary target for malware attacks, endangering user privacy and device security. With the rise of malware attacks, robust and reliable security is not only wanted but much needed. As the Android ma...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Indonesian Society for Knowledge and Human Development
2025
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/46202/1/Artificial%20Intelligence-Driven%20Detection%20of%20Android%20Malware.pdf https://doi.org/10.18517/ijaseit.15.5.13405 https://umpir.ump.edu.my/id/eprint/46202/ |
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