ABSTRACT
There is a rapid change in manufacturing systems through the application of information technology. The beginning of the fourth industrial revolution led to a revolution in manufacturing systems, e.g., developing smart manufacturing systems in the form of customizable products according to the customer needs providing lower costs, better quality, and improvements in the factory supply chain. After the finance and government sectors, the manufacturing industry is the third-largest industry targeted by cybercrimes. This new paradigm questions the security of the transferred data and has applications in production. Their integration poses unique challenges and vulnerabilities with the increasing use of sensors, artificial intelligence (AI) tools, big data analytics, and wireless technologies. Thus, smart manufacturing systems need to be protected from cyber threats. Digital transformation is now a new paradigm for providing cyber and data security. Therefore, cybersecurity ensures the security of information processes and manages security while addressing reliability, demanding performance, and safety requirements. It counteracts the implementation of cyber threats. Thus, companies can define the crucial manufacturing data to be protected by cyber-attacks, isolate any impact on their company in case any cybersecurity data breach happens, and assess the level of business impacts. The proposed techniques, such as threat modeling and architectures such as artificial neural networks (ANNs) and blockchain mechanisms, help tackle security tasks in preventing data breaches in machine-machine smart manufacturing systems in Industry 4.0. Therefore, these architectures provide high accuracy in detecting and preventing cyber-attacks. This review chapter discusses advances in the security of smart manufacturing systems, strengths and weaknesses of the manufacturing systems, existing threats, and preparedness for future cyber-attacks.
