Invention Grant
- Patent Title: Leveraging synthetic traffic data samples for flow classifier training
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Application No.: US17142533Application Date: 2021-01-06
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Publication No.: US11695792B2Publication Date: 2023-07-04
- Inventor: Blake Harrell Anderson , David McGrew
- 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 James M. Behmke; Jonathon P. Western
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06N20/00 ; H04L12/24 ; H04L12/851 ; H04L9/40 ; H04L41/16 ; H04L47/2441

Abstract:
In one embodiment, a device in a network receives traffic data regarding a plurality of observed traffic flows. The device maps one or more characteristics of the observed traffic flows from the traffic data to traffic characteristics associated with a targeted deployment environment. The device generates synthetic traffic data based on the mapped traffic characteristics associated with the targeted deployment environment. The device trains a machine learning-based traffic classifier using the synthetic traffic data.
Public/Granted literature
- US20210160268A1 LEVERAGING SYNTHETIC TRAFFIC DATA SAMPLES FOR FLOW CLASSIFIER TRAINING Public/Granted day:2021-05-27
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