Invention Grant
- Patent Title: Method and system for predicting a geographic location of a network entity
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Application No.: US16155115Application Date: 2018-10-09
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Publication No.: US11546439B2Publication Date: 2023-01-03
- Inventor: Armand Prieditis
- Applicant: Neustar, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Neustar, Inc.
- Current Assignee: Neustar, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Sterne, Kessler, Goldstein & Fox P.L.L.C.
- Main IPC: H04L67/52
- IPC: H04L67/52 ; H04L43/00

Abstract:
A method and system for predicting the geographic location of a network entity are described. Examples include predicting the geographic location of a network entity by directing the network entity to transmit one or more data packets to a number of predetermined network identifiers, such as IP addresses, where data corresponding to each of the network identifiers is part of a geographic location prediction model. In examples, a dataset that represents transit times for the data packets transmitted from the network entity to the hosts identified by the IP addresses is determined, and a geographic location for the network entity is predicted by applying the geographic location prediction model to the dataset.
Public/Granted literature
- US20190260839A1 METHOD AND SYSTEM FOR PREDICTING A GEOGRAPHIC LOCATION OF A NETWORK ENTITY Public/Granted day:2019-08-22
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