Machine Learning Methods for Malware Detection
Deep learning is a special machine learning approach that facilitates the extraction of features of a high level of abstraction from low-level data. Deep learning has proven successful in computer vision, speech recognition, natural language processing and other tasks. It works best when you want the machine to infer high-level meaning from low-level data. For image recognition challenges, like ImageNet, deep learning-based approaches already surpass humans.
It is natural that cybersecurity vendors tried to apply deep learning for recognizing malware from low-level data. A deep learning model can learn complex feature hierarchies and incorporate diverse steps of malware detection pipeline into one solid model that can be trained end-to-end, so that all of the components of the model are learned simultaneously.