Integrating Artificial Intelligence and Machine Learning for Enhanced Cyber Security in Industry 4.0

Le résumé fourni par la source

As a result of Industry 4.0, Fourth Industrial Revolution companies are now transforming into intelligent cyber-physical production systems (CPPSs) with complete supply-chain interconnectivity between people, products, and machines. Although streamlined, efficient, and rapid manufacturing are some of the many benefits of this digitalization. It also introduces several innovative methods of attack that endanger people's lives, manufacturing processes, and company services. In the framework of Industry 4.0, this article explores the detailed review of the integration of artificial intelligence (AI) with machine learning (ML) to strengthen cyber security precautions. The important objective is to construct a smart factory by integrating Internet of things (IoT) and cyber physical systems (CPS). Cyber risks, especially DDoS assaults, pose a major threat to the operational integrity of Industry 4.0 installations in the modern world. Intrusion detection systems (IDS) can successfully counteract such risks by utilizing ML and AI capabilities. The article addresses the process of merging the fundamental elements of an established industry to establish a smart production framework. An investigation into smart production using a drilling procedure is presented as an example of a simplified smart factory framework, and the investigation of the proposed model is discussed and confirmed through testing.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.