Image-Based Malware Classification Method with the AlexNet Convolutional Neural Network Model

Table 4

Comparison with other relevant literatures when using the Microsoft dataset.

	Methods	Accuracy	F-measure
Gibert et al. [46]	Grayscale image + CNN	0.9750	0.9400
Le et al. [47]	Byte + CNN	0.9861	0.9714
Çayır et al. [48]	CapsNet + bagging	0.9956	0.982
Tekerek and Yapici [49]	Byte + B2IMG	0.9986	0.9237
Zhu et al. [50]	Multiple feature	0.9905	0.9852
This article	Proposed method	0.9999	0.9899