Machine Learning and Deep Learning Techniques for Internet of Things Network Anomaly Detection—Current Research Trends

With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels of connectivity and data. Anomaly detection is a security feature that identifies instances in which system behavior deviates from the expected norm, facilitating the prompt identification and resolution of a...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 24; no. 6; p. 1968
Main Authors:	Rafique, Saida Hafsa, Abdallah, Amira, Musa, Nura Shifa, Murugan, Thangavel
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 20.03.2024 MDPI
Subjects:	Algorithms anomaly Artificial intelligence Datasets Deep learning Detectors Forecasts and trends Internet of Things intrusion detection Intrusion detection systems Machine learning Methods Middleware Neural networks Review Smart houses Software deep learning intrusion detection anomaly Internet of Things machine learning artificial intelligence
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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