BTHAAT: A Blockchain-based Traceable Hybrid-Anonymity Authentication Technique for Data Middle Platform in Industry 4.0

Abstract

Abstract There is currently a growing concern about the preservation of individual privacy, particularly in the context of the increasing usage of Big Data technologies, such as the Data Middle Platform. As such, the question of how to enhance privacy and security has become a primary concern in today's world of Industry 4.0. In this article, we review related literature on the security and privacy challenges of the Data Middle Platform, and explore the use of Blockchain and zero-knowledge proof theories for authentication. We propose an algorithm that combines k-anonymity, homomorphic encryption, blockchain, and zero-knowledge proof for traceable authentication technology, and demonstrate its feasibility in the laboratory. Our experimental results verify the efficacy of the algorithm. As the algorithm is intended for industrial use, we compare and discuss it with existing authentication techniques in the penultimate section. Finally, we conclude our work and highlight directions for future research.