US Patent 9483742 Intelligent traffic analysis to detect malicious activity

Techniques comprise identifying and/or classifying malicious activity in a web services platform using machine learning techniques. Systems, methods, and computer readable mediums may cause one or more computing nodes to monitor first network traffic, generate network information based on the monitored first network traffic, train a machine learning algorithm based on at least a first portion of the generated network information, test the machine learning algorithm based on at least a second portion of the generated network information, generate a predictor using the trained and tested machine learning algorithm, and identify second network traffic as one or more of malicious activity and benign activity using the predictor.