Deep learning model with convolutional neural networks and malware visualization

The previous section was a real-world implementation of MLP networks for detecting malware. Now, we are going to explore other artificial network architectures and we are also going to learn how to use one of them to help malware analysts and information security professionals to detect and classify malicious code. Before diving into the technical details and the steps for the practical implementation of the DL method, it is essential to learn and discover the other different architectures of artificial neural networks. We discussed some of them briefly in Chapter 1, Introduction to Machine Learning in Pentesting. The major artificial neural networks are discussed now.

Convolutional Neural Networks (CNNs...