An improved malware detection framework

• Main Author: Aswami Fadillah, Ahmad Naim Irfan
• Format: Thesis
• Language: English
• Published: 2020
• Subjects: T58.5-58.64 Information technology; TK5101-6720 Telecommunication
• 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

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....