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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Vydané v:	Applied sciences Ročník 13; číslo 21; s. 11908
Hlavní autori:	Gyamfi, Nana Kwame, Goranin, Nikolaj, Ceponis, Dainius, Čenys, Habil Antanas
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.11.2023
Predmet:	Algorithms Analysis anomaly detection Artificial intelligence automated system classification Automation Bibliometrics Classification Cybersecurity cybersecurity machine learning Cyberterrorism Decision trees Fuzzy logic Genetic algorithms Keywords Linear programming Literature reviews Machine learning Malware malware detection Neural networks Research methodology Spyware Support vector machines Systematic review Technology application
ISSN:	2076-3417, 2076-3417
On-line prístup:	Získať plný text
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