Examining the Performance of Various Pretrained Convolutional Neural Network Models in Malware Detection

A significant quantity of malware is created on purpose every day. Users of smartphones and computer networks now mostly worry about malware. These days, malware detection is a major concern in the cybersecurity area. Several factors can impact malware detection performance, such as inappropriate fe...

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Bibliografiska uppgifter

Huvudupphov:	Falah Amer Abdulazeez, Ismail Taha Ahmed, Baraa Tareq Hammad
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2024-03-01
Serie:	Applied Sciences
Ämnen:	malware detection pretrained CNN models unbalanced malimg datasets DenseNet201-KNN
Länkar:	https://www.mdpi.com/2076-3417/14/6/2614
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