Patent Document ID: 9483742
Application ID: 14524376
Patent Flag: 1

Claim One:
1. A method for classifying malicious activity in a web services platform using machine learning techniques, the method comprising: monitoring, by one or more computing nodes, first network traffic having a first communication type; generating, by the one or more computing nodes, network statistics based on the monitored first network traffic; training, by the one or more computing nodes, a machine learning algorithm based on at least a first portion of the generated network statistics; testing, by the one or more computing nodes, the machine learning algorithm based on at least a second portion of the generated network statistics; generating, by the one or more computing nodes, a predictor using the trained and tested machine learning algorithm classifying the predictor based at least on the communication type of the first network traffic; identifying second network traffic as having the same communication type as the first communication type of the first network traffic; identifying, by the one or more computing nodes, the second network traffic as malicious activity using the predictor; classifying, by the one or more computing nodes, the malicious activity using the predictor; and remediating, by the one or more computing nodes, the malicious activity.