Share Your Research, Maximize Your Social Impacts
AI-DRIVEN CYBERSECURITY IN INDUSTRY 4.0: A GLOBAL COMPARATIVE ANALYSIS OF DETECTION METHODS, CHALLENGES, AND RESILIENT SOLUTIONS
Journal: International Journal of Advanced Research (Vol.14, No. 01)Publication Date: 2026-01-15
Authors : Zidida Damekhaly Turay Mohamed Koroma Mohamed Syed Fofanah; Daniel Bob Kaitibi;
Page : 54-75
Keywords : Cybersecurity Industry 4.0 Intrusion detection systems AI-driven security Regional analysis System resilience;
Source : Download
Find it from : Google Scholar
Abstract
The study provides a comprehensive review of cybersecurity detection methods within Industry 4.0
Other Latest Articles
- CONTROLLING COMMON AILMENTS WITHOUT MEDICATION THROUGH ENVIRONMENTAL CHANGE
- ZAKAT ON INCOME-GENERATING ASSETS: A JURISPRUDENTIAL STUDY
- Internet of Things (IoT) Applied to Rotor Fault Diagnosis in Electrical Machines at Remote Sites
- LIGHTWEIGHT FACIAL EMOTION RECOGNITION SYSTEM USING DEEP LEARNING MODELS
- ANALYSE DES PERFORMANCES OPTIMALES DUN SECHOIR SOLAIRE A KANKAN (REPUBLIQUE DE GUINEE) : EVALUATION DES PARAMETRES ASTRONOMIQUES ET DES COORDONNEES SOLAIRES POUR UN SECHAGE NATUREL EFFICACE
Last modified: 2026-02-06 17:42:07