Invention Grant
- Patent Title: Machine learning techniques for internet protocol address to domain name resolution systems
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Application No.: US17017425Application Date: 2020-09-10
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Publication No.: US11631015B2Publication Date: 2023-04-18
- Inventor: Erik G. Matlick , Nicholaus Eugene Halecky , Benny Lin
- Applicant: Bombora, Inc.
- Applicant Address: US NY New York
- Assignee: Bombora, Inc.
- Current Assignee: Bombora, Inc.
- Current Assignee Address: US NY New York
- Agency: Schwabe, Williamson & Wyatt, PC
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06N20/00 ; H04L61/10 ; H04L61/5007 ; H04L61/3015
Abstract:
An IP-to-Domain (IP2D) resolution system predicts which domain is most likely associated with an IP address. The resolution system generates unique source vote features (FSV) from (IP, domain, source) data. The FSV features are used to train a computer learning model that predicts which domain is most likely associated with an IP address. The domain predictions can then be used to more efficiently process events, more accurately calculate consumption scores, and more accurately detect associated company surges.
Public/Granted literature
- US20210073661A1 MACHINE LEARNING TECHNIQUES FOR INTERNET PROTOCOL ADDRESS TO DOMAIN NAME RESOLUTION SYSTEMS Public/Granted day:2021-03-11
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