A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning

A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning

The security of IoT networks is an important concern to researchers and business owners, which is taken into careful consideration due to its direct impact on the availability of the services offered by IoT devices and the privacy of the users connected with the network. An intrusion detection syste...

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Bibliographic Details
Main Authors: Raneem Qaddoura, Ala’ M. Al-Zoubi, Hossam Faris, Iman Almomani
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
intrusion detection
classification
neural network
deep learning
oversampling
SMOTE
Online Access:https://www.mdpi.com/1424-8220/21/9/2987

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