18367775. DETECTING NETWORK ANOMALIES USING NETWORK FLOW DATA (Microsoft Technology Licensing, LLC)

DETECTING NETWORK ANOMALIES USING NETWORK FLOW DATA

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Tsuwang Hsieh of Sammamish WA (US)

Santiago Martin Segarra of Houston TX (US)

Sathiya Kumaran Mani of Kirkland WA (US)

Srikanth Kandula of Redmond WA (US)

Michael Dean Wong of Princeton NJ (US)

DETECTING NETWORK ANOMALIES USING NETWORK FLOW DATA

This abstract first appeared for US patent application 18367775 titled 'DETECTING NETWORK ANOMALIES USING NETWORK FLOW DATA

Original Abstract Submitted

This document relates to automating detecting anomalies in network behavior of an application Generally, the disclosed techniques can obtain network flow data for an application. A machine learning model can be used to process the network flow data to detect anomalies. The machine learning model can be retrained over time to adapt to changing network behavior of the application. In some cases, a graph neural network is employed to detect the anomalies.