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US20240187430A1

Internet of things security analytics and solutions with deep learning

University of Texas System

Abstract

Embodiments may provide robust defenses for IoT devices against criminal actions, such as the theft of information and invasion of privacy. A method of detecting anomalous network traffic may perform monitoring an operational IoT network to obtain network traffic data representing events occurring …

University
University of Texas System
Assignee
Board Of Regents, The University Of Texas System
Inventor
Luke Holbrook
Priority date
November 01, 2019
Filing date
November 02, 2020
Publication date
June 06, 2024
Language
en
Metadata fetched
August 29, 2026 00:31