An Ensemble Learning Based Intrusion Detection Model for Industrial IoT Security
Author:
Affiliation:
1. Technology Higher School, Cadi Ayyad University,Essaouira,Morocco,44000
2. IDMS Team, Faculty of Sciences and Techniques, Moulay Ismail University of Meknés,Errachidia,Morocco,52000
Publisher
Tsinghua University Press
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems
Link
http://xplorestaging.ieee.org/ielx7/8254253/10097649/10097653.pdf?arnumber=10097653
Reference64 articles.
1. A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunities
2. Hybrid Intrusion Detection System for Edge-Based IIoT Relying on Machine-Learning-Aided Detection
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4. DeepIoT.IDS: Hybrid Deep Learning for Enhancing IoT Network Intrusion Detection
5. A Comprehensive Survey on Attacks, Security Issues and Blockchain Solutions for IoT and IIoT
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