Invention Application
- Patent Title: LEARNING ROBUST AND ACCURATE RULES FOR DEVICE CLASSIFICATION FROM CLUSTERS OF DEVICES
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Application No.: US17513989Application Date: 2021-10-29
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Publication No.: US20220166675A1Publication Date: 2022-05-26
- Inventor: David Tedaldi , Grégory Mermoud , Pierre-André 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
- Main IPC: H04L41/0893
- IPC: H04L41/0893 ; H04L41/00 ; H04L43/065 ; H04L43/04 ; H04L43/08
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
- US11483207B2 Learning robust and accurate rules for device classification from clusters of devices Public/Granted day:2022-10-25
Information query
