Invention Grant
- Patent Title: Enhanced device classification including crowdsourced classifications for increased accuracy
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Application No.: US18148951Application Date: 2022-12-30
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Publication No.: US12074771B2Publication Date: 2024-08-27
- Inventor: Erick Ingleby , Nirmal F. Rajarathnam
- Applicant: FORESCOUT TECHNOLOGIES, INC.
- Applicant Address: US CA San Jose
- Assignee: FORESCOUT TECHNOLOGIES, INC.
- Current Assignee: FORESCOUT TECHNOLOGIES, INC.
- Current Assignee Address: US CA San Jose
- Agency: Womble Bond Dickinson (US) LLP
- Main IPC: H04L41/14
- IPC: H04L41/14 ; G06N5/022

Abstract:
Systems, methods, and related technologies for classifying a device on a network are described. A method includes capturing device information corresponding to a device on a network. The method inputs unstructured crowdsourced data on the network into a machine learning model to produce structured crowdsourced data. The method classifies the device based on evaluating the device information with the structured crowdsourced data.
Public/Granted literature
- US20230318927A1 ENHANCED DEVICE CLASSIFICATION INCLUDING CROWDSOURCED CLASSIFICATIONS FOR INCREASED ACCURACY Public/Granted day:2023-10-05
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