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...

Full description

Saved in:
Bibliographic Details
Main Authors: Aboaoja, Faitouri A., Zainal, Anazida, Ghaleb, Fuad A., Saleh Alghamdi, Norah, Saeed, Faisal, Alhuwayji, Husayn
Format: Article
Language:English
Published: PeerJ Inc. 2023
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia
Language: English