An Intrusion Detection and Identification System for Internet of Things Networks Using a Hybrid Ensemble Deep Learning Framework-Reference-Cited by-同舟云学术

An Intrusion Detection and Identification System for Internet of Things Networks Using a Hybrid Ensemble Deep Learning Framework

Author:

Kongsorot Yanika¹^ORCID,Musikawan Pakarat¹^ORCID,Aimtongkham Phet¹^ORCID,You Ilsun²^ORCID,Benslimane Abderrahim³^ORCID,So-In Chakchai¹^ORCID

Affiliation:

1. Department of Computer Science, College of Computing, Khon Kaen University, Khon Kaen, Thailand

2. Department of Information Security Engineering, Cryptology and Mathematics, Kookmin University, Seoul, South Korea

3. Faculty of Sciences and Technology, Avignon University, Avignon, France

Funder

Post-Doctoral Training Program of Thailand Science Research and Innovation

National Research Council of Thailand

International Research Network Program

College of Computing

Khon Kaen University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Control and Optimization,Hardware and Architecture,Renewable Energy, Sustainability and the Environment,Software

Link

Reference70 articles.

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