Secure IIoT networks with hybrid CNN-GRU model using Edge-IIoTset

Rafika Saadouni, Amina Khacha, Yasmine Harbi, Chirihane Gherbi, Saad Harous, Zibouda Aliouat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Industrial Internet of Things (IIoT), or Industry 4.0, is an application of IoT in the industrial sector. Its main objective is to enhance product quality and optimize production costs by leveraging advanced technologies such as edge/fog/cloud computing, 5G/6G, and artificial intelligence. In the context of Industry 4.0, numerous devices and systems are interconnected to provide seamless services to users. However, with this interconnection comes the need to protect these devices and the information they transmit from cyberthreats and intrusions. In order to tackle this challenge, our proposed solution involves the utilization of deep learning (DL) models to develop an anomaly-based detection system. Our approach involves two powerful DL models, namely Convolutional Neural Networks (CNN) and Gated Recurrent Units (GRU). The proposed model's performance is studied within binary and multiclass classification using a new real-world industrial traffic dataset called Edge-IIoTset. The outcomes of our experiments showcased the efficacy of the CNN-GRU model that we proposed, surpassing the performance of recent related works in terms of performance metrics, including accuracy, precision, false positive rate, and detection cost. The combination of the two models CNN and GRU outperforms the GRU model with 88% of detection cost in multiclass classification for one traffic flow.

Original languageEnglish
Title of host publication2023 15th International Conference on Innovations in Information Technology, IIT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages150-155
Number of pages6
ISBN (Electronic)9798350382396
DOIs
Publication statusPublished - 2023
Event15th International Conference on Innovations in Information Technology, IIT 2023 - Al Ain, United Arab Emirates
Duration: Nov 14 2023Nov 15 2023

Publication series

Name2023 15th International Conference on Innovations in Information Technology, IIT 2023

Conference

Conference15th International Conference on Innovations in Information Technology, IIT 2023
Country/TerritoryUnited Arab Emirates
CityAl Ain
Period11/14/2311/15/23

Keywords

  • CNN
  • Deep Learning
  • GRU
  • Industry 4.0
  • Intrusion Detection System
  • IoT

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

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