Simulation and modeling of a robust cybersecurity system for next-generation manufacturing execution

Abstract This research presents a simulation focusing on the integration of a dynamic and robust cybersecurity framework into a manufacturing execution system (MES). This research aims to address cyber security vulnerabilities inherent in manufacturing execution systems (MES). Production implementation systems commonly use various communication protocols, including RS232, IPv4, IPv6, PROFIBUS, and MODBUS. Recent manufacturing implementation systems provide a framework for separating industrial control system networks from corporate enterprise networks and the Internet. Production implementation systems strengthen cyber security as a result. However, when corporate networks and industrial control systems collaborate, cyber security becomes crucial. This process poses significant security risks that can compromise integrity and data confidentiality. This study aims to identify and mitigate gateway vulnerabilities, establish a cyber-defense framework, emphasize standardization of communication protocols, highlight its unique advantages, and benchmark the proposed method against existing cyber security solutions. The design of cyber resilience in manufacturing systems encompasses the systems’ capacity to anticipate, address, and recover from cyber threats, all while preserving operational integrity. Mathematical modeling strengthens security by exploring vulnerabilities in various control and communication protocols like PLC, SCADA, DCS, RS232, IPv4, IPv6, PROFIBUS, and MODBUS. The study reveals that the analysis of data can safeguard systems against potential attacks, given the unique security implications of each protocol. This research proposes that simple processes and mathematical models can enhance cyber security, despite the existence of various procedures. We propose mathematical models that establish functional relationships to forecast computer behavior, enhance performance, and underscore the crucial role of standardized communication protocols. We develop and investigate a mathematical model. We develop and investigate a mathematical model that takes into account the presence of various security devices, including firewall configurations, encryption systems, and access control systems. We design and propose a mathematical model and a dynamic system dynamics equation that align with the real-time conditions of the MES. The dynamic system dynamics equation determines a security metric based on specific parameters. Passing the base threshold triggers the transaction deletion logic, exposing the proactive event for security breaches. This research suggests designing and exploring MES automation with the goal of ensuring seamless service, implementing cyber security response mechanisms swiftly, and minimizing response time. The process flow diagram in figure 1 shows a structured approach to a research paper that begins with model development to create a conceptual system representation. A functional analysis follows, assessing organizational needs and objectives as well as the implementation process, which includes the framework proposal stage and tool selection. Among these, the performance evaluation entails measuring the model’s performance using established metrics, driving the MES system through dynamic response, monitoring its behavior, and making changes based on feedback.