Polymorphic malware detection based on dynamic analysis and supervised machine learning / Nur Syuhada Selamat
Currently, the size of malware grows faster each year and poses a thoughtful global security threat. The number of malware developed is increasing as computers became interconnected, at an alarming rate in the 1990s. This scenario caused a rising number of malware. It also caused many protections ar...
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| Format: | Thesis |
| Language: | en |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/59811/1/59811.pdf https://ir.uitm.edu.my/id/eprint/59811/ |
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