Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models

Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models

Despite providing unparalleled connectivity and convenience, the exponential growth of the Internet of Things (IoT) ecosystem has triggered significant cybersecurity concerns. These concerns stem from various factors, including the heterogeneity of IoT devices, widespread deployment, and inherent co...

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Bibliographic Details
Main Authors: Fatima Alwahedi, Alyazia Aldhaheri, Mohamed Amine Ferrag, Ammar Battah, Norbert Tihanyi
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-01-01
Series:Internet of Things and Cyber-Physical Systems
Subjects:
Cyber threat detection
Intrusion detection
IoT
Machine learning
Security
Online Access:http://www.sciencedirect.com/science/article/pii/S2667345223000585

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http://www.sciencedirect.com/science/article/pii/S2667345223000585

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