Detection of Exceptional Malware Variants Using Deep Boosted Feature Spaces and Machine Learning
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DOI: 10.3390/app112110464
Abstract: Malware is a key component of cyber-crime, and its analysis is the first line of defence against cyber-attack. This study proposes two new malware classification frameworks: Deep Feature Space-based Malware classification (DFS-MC) and Deep Boosted… read more here.
Keywords: boosted feature; feature; deep boosted; malware ... See more keywords