An improved malware detection framework
The detection of malware intrusion requires the identification of its signature. However, cyber security practitioners are having difficulty to manually detect signature-based malware due to the increasing number of malware. As a consequence, malware are only detected after an incident has occurred....
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2020
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| Online Access: | http://eprints.utm.my/108009/1/AhmadNaimIrfanAswamiFadillahMFTIR2020.pdf.pdf http://eprints.utm.my/108009/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:154243?site_name=GlobalView&query=An+improved+malware+detection+framework&queryType=vitalDismax |
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