Network device identification
Machine learning techniques are described for analyzing information network traffic to identify different devices connected to a network. Transmitted network packets may be passively collected and analyzed. In some cases the described techniques may be used to identify distinct devices connected to...
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Main Authors | , , , |
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Format | Patent |
Language | English |
Published |
13.02.2024
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Subjects | |
Online Access | Get full text |
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Summary: | Machine learning techniques are described for analyzing information network traffic to identify different devices connected to a network. Transmitted network packets may be passively collected and analyzed. In some cases the described techniques may be used to identify distinct devices connected to a network even though the collected and analyzed packets may lack a unique device identifier, such as a media access control (MAC) identifier, corresponding to a device that originated the packets. |
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Bibliography: | Application Number: US202017097356 |