AI-DRIVEN CYBERSECURITY IN INDUSTRY 4.0: A GLOBAL COMPARATIVE ANALYSIS OF DETECTION METHODS, CHALLENGES, AND RESILIENT SOLUTIONS
Zidida Damekhaly Turay, Mohamed Koroma, Haja Isata Fofanah, Daniel Kaitibi
The study provides a comprehensive review of cybersecurity detection methods within Industry 4.0, focusing on enhancing system resilience and user trust. The research uses a qualitative approach to analyze nine case studies from Africa, Asia, and the West to identify key challenges, …
cn, Sierra Leone (code pays fourni par la source)
1 citation
International Journal of Advanced Research