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:	Muaadh A. Alsoufi, Shukor Razak, Maheyzah Md Siraj, Ibtehal Nafea, Fuad A. Ghaleb, Faisal Saeed, Maged Nasser
Format:	Article
Language:	English
Published:	MDPI AG 2021-09-01
Series:	Applied Sciences
Subjects:	systematic literature review anomaly intrusion detection deep learning IoT resource constraint IDS
Online Access:	https://www.mdpi.com/2076-3417/11/18/8383

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