Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features
As the number of internet users increases so does the number of malicious attacks using malware.The detection of malicious code is becoming critical, and the existing approaches need to be improved.Here, we propose a feature fusion method to combine the features extracted from pre-trained AlexNet and Pier Cabinet Inception-v3 deep neural networks w