Abstract
The Industrial Internet of Things (IIoT) has been growing for presentations in industry in recent years. Security for the IIoT has unavoidably become a problem in terms of creating safe applications. Due to continual needs for new functionality, such as foresight, the number of linked devices in the industrial environment increases. Certification of fewer signatories gives strong authentication solutions and prevents trustworthy third parties from being publicly certified among available encryption instruments. Hence this blockchain-based endpoint protection platform (BCEPP) has been proposed to validate the network policies and reduce overall latency in isolation or hold endpoints. A resolver supports the encoded model as an input; network functions can be optimized as an output in an infrastructure network. The configuration of the virtual network functions (VNFs) involved fulfills network characteristics. The output ensures that the final service is supplied at the least cost, including processing time and network latency. According to the findings of this comparison, our design is better suited to simplified trust management in IIoT devices. Thus, the experimental results show the adaptability and resilience of our suggested confidence model against behavioral changes in hostile settings in IIoT networks. The experimental results show that our proposed method, BCEPP, has the following, when compared to other methods: high computational cost of 95.3%, low latency ratio of 28.5%, increased data transmitting rate up to 94.1%, enhanced security rate of 98.6%, packet reception ratio of 96.1%, user satisfaction index of 94.5%, and probability ratio of 33.8%.