Automated System-Level Malware Detection Using Machine Learning: A Comprehensive Review

Automated System-Level Malware Detection Using Machine Learning: A Comprehensive Review

Malware poses a significant threat to computer systems and networks. This necessitates the development of effective detection mechanisms. Detection mechanisms dependent on signatures for attack detection perform poorly due to high false negatives. This limitation is attributed to the inability to de...

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Bibliographic Details
Main Authors:	Nana Kwame Gyamfi, Nikolaj Goranin, Dainius Ceponis, Habil Antanas Čenys
Format:	Article
Language:	English
Published:	MDPI AG 2023-10-01
Series:	Applied Sciences
Subjects:	anomaly detection automated system classification cybersecurity machine learning malware detection
Online Access:	https://www.mdpi.com/2076-3417/13/21/11908

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