Invention Grant
- Patent Title: Network endpoint profiling using a topical model and semantic analysis
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Application No.: US15444753Application Date: 2017-02-28
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Publication No.: US11200488B2Publication Date: 2021-12-14
- Inventor: Pok Wong , Lokesh Ethirajan , Amol Borole , Ramesh Nampelly
- 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; Jonathon P. Western
- Main IPC: G06N3/08
- IPC: G06N3/08 ; H04W48/20 ; G06F16/35 ; G06F16/33 ; H04L29/06 ; G06F40/30 ; H04W4/70 ; G06F40/242

Abstract:
In one embodiment, a device in a network extracts words from traffic data for a particular endpoint node in the network. The device determines one or more topical categories associated with the particular endpoint node by applying a machine learning-based topical model to the extracted words. The device identifies one or more similar endpoint nodes in the network based on the determined one or more topical categories associated with the particular endpoint node and on one or more topical categories associated with the one or more similar endpoint nodes. The device determines a device type for the particular endpoint node based on a device type associated with the one or more similar endpoint nodes.
Public/Granted literature
- US20180247188A1 NETWORK ENDPOINT PROFILING USING A TOPICAL MODEL AND SEMANTIC ANALYSIS Public/Granted day:2018-08-30
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