A Kullback-Liebler divergence-based representation algorithm for malware detection
Background. Malware, malicious software, is the major security concern of the digital realm. Conventional cyber-security solutions are challenged by sophisticated malicious behaviors. Currently, an overlap between malicious and legitimate behaviors causes more difficulties in characterizing those be...
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Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2023
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Subjects: | |
Online Access: | http://eprints.utm.my/107630/1/FaitouriAAboaoja2023_AKullbackLieblerDivergencebasedRepresentation.pdf http://eprints.utm.my/107630/ http://dx.doi.org/10.7717/peerj-cs.1492 |
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Institution: | Universiti Teknologi Malaysia |
Language: | English |
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