METHOD AND SYSTEM FOR LEARNING REPRESENTATIONS OF NETWORK FLOW TRAFFIC

Patent №

US 10,880,321

Granted

2020-12-29

Filed 2018

Owner

VECTRA NETWORKS, INC.

Lab

AI components

4

ml · vision · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15881760

Disclosed is an improved method, system, and computer program product for learning representations or embeddings of network flow traffic. The disclosed invention operates on network flow data which are then used as inputs to a deep-learning architecture that learns to embed the data into a vector space.

Machine learningVisionKnowledge representationAI hardwareH04L 63/1425G06N 3/0442G06N 3/045G06N 3/084G06N 3/0895G06N 3/09G06N 5/02G06N 20/00+4 more

AI classification

Machine learning1.00
AI hardware1.00
Knowledge representation0.98
Vision0.95
Planning0.10
Natural language0.08
Speech0.06
Evolutionary computation0.00

Ownership

VECTRA NETWORKS, INC.

assignment · 447490783

Assignors

SILVER, MATTHEW R., KAZEROUNIAN, SOHROB

On an employer assignment, the assignors are typically the inventors.

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