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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https://www.mdpi.com/2076-3417/11/18/8383

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