A new deep-learning architecture could deflect cyberattacks by combining several methods for analyzing network traffic, according to research published in the International Journal of Business Intelligence and Data Mining. The approach addresses a weakness in standard intrusion-detection systems, which struggle with the volume and complexity of modern network traffic.
