Deep Learning Optimisation of Static Malware Detection with Grid Search and Covering Arrays

Deep Learning Optimisation of Static Malware Detection with Grid Search and Covering Arrays

This paper investigates the impact of several hyperparameters on static malware detection using deep learning, including the number of epochs, batch size, number of layers and neurons, optimisation method, dropout rate, type of activation function, and learning rate. We employed the cAgen tool and g...

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Bibliographic Details
Main Authors:	Fahad T. ALGorain, Abdulrahman S. Alnaeem
Format:	Article
Language:	English
Published:	MDPI AG 2023-05-01
Series:	Telecom
Subjects:	hyperparameter optimisation static malware detection neural network deep learning grid search cAgen
Online Access:	https://www.mdpi.com/2673-4001/4/2/15

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