Project STAMINA Uses Deep Learning for Innovative Malware Detection - Security Boulevard

You're familiar with the phrase, "A picture is worth 1,000 words." Well, Microsoft and Intel are applying this philosophy to malware detection--using deep learning and a neural network to turn malware into images for analysis at scale. Project STAMINA--an acronym for STAtic Malware-as-Image Network Analysis--converts malware samples into two-dimensional grayscale images that can be analyzed based on their unique criteria. Researchers from the two companies have worked together to develop this interesting approach to malware detection. STAMINA uses deep learning--a type of machine learning designed to create an intelligent system capable of learning on its own from unstructured and unlabeled input data.