Artificial intelligence enabled intrusion detection systems for cognitive cyber-physical systems in industry 4.0

Manal Abdullah Alohali1, Fahd N Al-Wesabi2,3, Anwer Mustafa Hilal4

  • 1Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671 Saudi Arabia.

Cognitive Neurodynamics
|October 14, 2022
PubMed
Summary

This study introduces an AI-enabled intrusion detection system for Cognitive Cyber-Physical Systems in Industry 4.0. The novel multimodal fusion approach enhances cybersecurity by integrating machine learning models for improved threat detection.

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