A Multi-Stage Classification Approach for IoT Intrusion Detection Based on Clustering with Oversampling

Intrusion detection of IoT-based data is a hot topic and has received a lot of interests from researchers and practitioners since the security of IoT networks is crucial. Both supervised and unsupervised learning methods are used for intrusion detection of IoT networks. This paper proposes an approa...

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Bibliographic Details
Main Authors: Raneem Qaddoura, Ala’ M. Al-Zoubi, Iman Almomani, Hossam Faris
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Applied Sciences
Subjects:
IoT
Online Access:https://www.mdpi.com/2076-3417/11/7/3022