Anomaly-based intrusion detection systems in IoT using deep learning: a systematic literature review

Anomaly-based intrusion detection systems in IoT using deep learning: a systematic literature review

The Internet of Things (IoT) concept has emerged to improve people’s lives by providing a wide range of smart and connected devices and applications in several domains, such as green IoT-based agriculture, smart farming, smart homes, smart transportation, smart health, smart grid, smart cities, and...

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Bibliographic Details
Main Authors:	Alsoufi, Muaadh A., Razak, Shukor, Md. Siraj, Maheyzah, Nafea, Ibtehal, Abdoh Ghaleb, Fuad Abdulgaleel, Saeed, Faisal, Nasser, Maged
Format:	Article
Language:	English
Published:	MDPI 2021
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/93986/1/FuadAbdulgaleelAbdoh2021_AnomalyBasedIntrusionDetectionSystems.pdf

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