Dynamic android malware category classification using semi-supervised deep learning
Due to the significant threat of Android mobile malware, its detection has become increasingly important. Despite the academic and industrial attempts, devising a robust and efficient solution for Android malware detection and category classification is still an open problem. Supervised machine lear...
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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English English |
| Published: |
IEEE
2020
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/85914/3/DASC_best_student%20paper.pdf http://irep.iium.edu.my/85914/9/85914%20Dynamic%20Android%20Malware%20Category%20Classification.pdf http://irep.iium.edu.my/85914/15/85914_Dynamic%20Android%20Malware%20Category%20Classification%20using%20Semi-Supervised%20SCOPUS.pdf http://irep.iium.edu.my/85914/ https://ieeexplore.ieee.org/document/9251198 |
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Internet
http://irep.iium.edu.my/85914/3/DASC_best_student%20paper.pdfhttp://irep.iium.edu.my/85914/9/85914%20Dynamic%20Android%20Malware%20Category%20Classification.pdf
http://irep.iium.edu.my/85914/15/85914_Dynamic%20Android%20Malware%20Category%20Classification%20using%20Semi-Supervised%20SCOPUS.pdf
http://irep.iium.edu.my/85914/
https://ieeexplore.ieee.org/document/9251198