Security Protection of Industrial Cyber Security with IIoT Through Zone Function Modeling Algorithm

Abstract

The convergence of cyber and physical domains is a burgeoning phenomenon inside conventional industrial systems, with the objective of augmenting adaptability and effectiveness in the realms of surveillance, management, and regulation. The integration of industrial cyber-physical systems (ICPSs) on a large scale is associated with an increased susceptibility to security vulnerabilities. The identification of attacks is an essential element of the initial protective barrier and carries substantial significance within the wider framework of security safeguarding. Currently, there is a lack of a data-driven approach to evaluate the risk of SCADA software for IIoT devices, despite the clear need to understand the cyber threat to urban critical infrastructure. Statistical models are developed with the purpose of determining risk metrics for SCADA systems, which may be employed to evaluate the probability of exploiting vulnerabilities connected with SCADA. We have developed a customizable schema for ranking SCADA hazards based on our study findings. The security community may employ this schema to improve their understanding of hazards particular to SCADA. In order to ascertain the effectiveness of the proposed approach, a laboratory apparatus is ultimately developed. The results suggest that the suggested approach provides a solution characterized by a notable degree of precision, while also demonstrating efficient performance in real-time situations.