Credible System for Industrial IoT Networks Using Block Chain Technology

The industrial Internet of things specifies the interconnected network of instruments, sensors, and devices used in industrial applications, such as manufacturing and energy management. One technology that has the potential to improve IIoT systems is block chain, which can provide redundancy, immutable storage, and encryption. Another way to enhance IIoT security is to use data science techniques to detect and prevent malicious activities. This study aims to address the problem of malicious devices in industrial settings that can degrade network performance and compromise the security of legitimate IoT devices. To establish trust between IoT devices and safeguard the network from malicious entities, the coordinator's IoT device is used. While some open-source ciphers may still be vulnerable to attack, organizations can benefit from the scrutiny of numerous users, making it difficult for centralized entities or third parties to make malicious modifications. Additionally, integrating a block chain-based data model can ensure data transparency. The proposed framework is experimentally evaluated using MATLAB to measure a variety of security metrics such as the likelihood of false authentication, message tampering, and attack intensity. Based on the simulation results, it is observed that the suggested approach effectively improves the security of industrial IoT networks by identifying and mitigating malicious attacks.