Implementing blockchain and cryptography techniques to create a secure data transmission system in the industrial internet of environment
Mukesh Kumar, N. V. R. G. Vikram · 2025
Nowadays, the industrial internet of things (IIoT) is full of data transfers and uploads that provide a host of advantages. With the help of its vast network capacity, this platform accommodates many users at once, serving a diverse range of businesses and individuals. The important thing is that data is continuously collected, beginning at the sensor edge. Still, the advent of targeted assaults that try to undermine system integrity and profit from it is a serious problem. To remedy this problem, Blockchain-based cryptography methods provide decentralized security and privacy. The IIoT generates a massive amount of data, which makes productivity and efficiency possible. To guarantee the security and integrity of data being sent and stored in IIoT systems, however, there is still a great deal of work to be done. Since blockchain technology allows for encryption, it is crucial for the security, standardization, and certification of the adoption of the data handled by IIoT devices. This article provides a thorough analysis of how to secure IIoT data using the blockchain-based Merkle Tree data structure and Blowfish encryption technology. Data encryption is done with Blowfish, while data integrity is assessed using the Merkle Tree. The proposal provides robust security against data modification, illegal access, and information leakage in IIoT applications. A Python software is used to complete the task, and the UNSW-NB15 data set is evaluated.