Blockchain enabled Deep Learning Architectures to Secure IoT and Edge Computing in Supply Chain Management for Industry 4.0

Abstract Blockchain has been widely used in Internet of Things (IoT) applications to ensure data confidentiality, consistency and traceability. Integration of blockchain and edge computing improves the resource utilization across network, computation, storage, and security. This paper presents a novel method to address data transmission, communication overhead, security and privacy along with accuracy in IoT application integrating cloud edge environments using deep learning techniques. In addition, Blockchain technology has been incorporated to avoid the cyber-attacks in supply chain management and secure data transmission has been enhanced using Voxel Convolutional networks. The experiments are conducted to evaluate and analyse data transmission ratio, specificity, training accuracy, and validation accuracy. The computational results of our approach show a significant improvement in data privacy and communication security with data transmission ratio up to 89%, validation accuracy 89%, specificity of 75%, training accuracy 95%, and security analysis 91%.