Improving data delivery, quality, and precision are especially important for ML. The combination of ML and Blockchain technologies make exact outcomes. The IIoT, has quickly been recognized and is attainment huge attention in educational areas with manufacturing, but IoT solitude danger and privacy exposures are emerging by lack of significant security technology. The Blockchain Driven Cyber-Physical system (BDCPS) is supported by IoT-cloud services. In this paper, Integrated Fuzzy Decision Tree based Blockchain Federated Safety-as-a-Service for IIoT (IFDT-BCF-SAS-IIOT) is proposed. In this study, Lightweight Homomorphic Cryptographic Algorithm is run on separate board system. The suggested system uses Delegated Proof of Work Consensus Protocol to resolve problems likes’s lightweight, warehousing transactions, evaporation, and shipment time. The data flow of blockchain is proposed to establish application of integrated fuzzy decision tree to food traceability. The proposed method is executed in Python, performance of proposed technique is analysed with performance metrics like, accuracy, precision, F1-score, recall, specificity, Mean Absolute Error, MSE, RMSE are analyzed.The proposed IFDT-BCF-SAS-IIOT method attains \(32.58\%, 26.73\%\) and \(24.22\%\), higher Specificity, \(23.58\%, 20.73\%, 19.32\%\) higher precision, \(30.18\%, 28.66\%\) and \(24.32\%\) higher recall, \(21.58\%, 20.73\%, 18.32\%\) lower RMSE analysed with existing techniques like new blockchain federated safety-as-a-service system for IIoT utilizing ML (NBF-SAS-IIOT), IIoT: requirements, architecture, challenges, future research directions (IIOT-SAS-RAC), differential privacy for IIoT: opportunities, applications, challenges (IIOT-SAS-OAC) respectively.
