Learning robust and accurate rules for device classification from clusters of devices

Invention Grant

US11196629B2 Learning robust and accurate rules for device classification from clusters of devices 有权

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Patent Title: Learning robust and accurate rules for device classification from clusters of devices
Application No.: US17142447

Application Date: 2021-01-06
Publication No.: US11196629B2

Publication Date: 2021-12-07
Inventor: David Tedaldi , Grégory Mermoud , Pierre-Andre Savalle , Jean-Philippe Vasseur
Applicant: Cisco Technology, Inc.
Applicant Address: US CA San Jose
Assignee: Cisco Technology, Inc.
Current Assignee: Cisco Technology, Inc.
Current Assignee Address: US CA San Jose
Agency: Behmke Innovation Group
Agent James M. Behmke; James J. Wong
Main IPC: H04L12/24
IPC: H04L12/24 ; H04L12/26

Learning robust and accurate rules for device classification from clusters of devices

Abstract:

In various embodiments, a device classification service obtains traffic telemetry data for a plurality of devices in a network. The service applies clustering to the traffic telemetry data, to form device clusters. The service generates a device classification rule based on a particular one of the device clusters. The service receives feedback from a user interface regarding the device classification rule. The service adjusts the device classification rule based on the received feedback.

Public/Granted literature

US20210126833A1 LEARNING ROBUST AND ACCURATE RULES FOR DEVICE CLASSIFICATION FROM CLUSTERS OF DEVICES Public/Granted day:2021-04-29

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