CORRELATING NETWORK TRAFFIC THAT CROSSES OPAQUE ENDPOINTS

Patent №

US 11,652,714

Granted

2023-05-16

Filed 2022

Owner

EXTRAHOP NETWORKS, INC.

Lab

AI components

1

kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17861373

Embodiments are directed to monitoring network traffic using network monitoring computers (NMCs). Two or more network segments coupled by a traffic forwarding device (TFD) may be monitored. External network addresses and internal network addresses may be determined based on encrypted network traffic exchanged between external endpoints and the TFD and internal network traffic exchanged between internal endpoints and the TFD. Metrics associated with the external network addresses or the internal network addresses may be determined based on the monitoring. Correlation scores may be provided for the external network addresses and the internal network addresses based on of a correlation model, the metrics, or the other metrics. If a correlation score associated with an external network address and an internal network address exceeds a threshold value, the external network address and the internal network address may be associated with each other based on the correlation score.

Knowledge representationH04L 43/026H04L 43/062H04L 43/08H04L 43/12H04L 43/18H04L 47/41H04L 41/046H04L 41/12+2 more

AI classification

Knowledge representation0.88
Machine learning0.42
AI hardware0.38
Planning0.33
Natural language0.01
Vision0.00
Evolutionary computation0.00
Speech0.00

Ownership

EXTRAHOP NETWORKS, INC.

assignment · 604690770

Assignors

WU, XUE JUN, MUKERJI, ARINDUM, COSTLOW, JEFF JAMES, MONTAGUE, MICHAEL KERBER KRAUSE, ROTHSTEIN, JESSE ABRAHAM, SCHURR, MATTHEW ALEXANDER

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

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