NLP Technique for Malware Detection Using 1D CNN Fusion Model

Table 1

Neural network architecture for Android malware detection.

Layers	Parameters	Nonlinear activation
1D convolutionx3	Filters = 32, kernel_size = 3	ReLU
Regularization	Dropout = 0.5	ReLU
1D MaxPooling	Size = 3	ReLU
FC dense	No_neurons = 256	ReLU
FC dense	No_neurons = 1	Softmax

^X3 denotes three convolution operations using the same parameters and activation function.