Invention Grant
- Patent Title: Device type classification using metric learning in weakly supervised settings
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Application No.: US16434274Application Date: 2019-06-07
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Publication No.: US11893456B2Publication Date: 2024-02-06
- Inventor: David Tedaldi , Pierre-Andre Savalle , Sharon Shoshana Wulff , Jean-Philippe Vasseur , Grégory Mermoud
- 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 LLC
- Agent Kenneth J. Heywood; James J. Wong
- Main IPC: G06N20/00
- IPC: G06N20/00 ; H04L41/0893 ; G06F18/23 ; G06F18/241

Abstract:
In one embodiment, a device classification service receives telemetry data indicative of behavioral characteristics of a plurality of devices in a network. The service obtains side information for the telemetry data. The service applies metric learning to the telemetry data and side information, to construct a distance function. The service uses the distance function to cluster the telemetry data into device clusters. The service associates a device type label with a particular device cluster.
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