An enterprise blockchain model : A reliable cryptography-based cyber-physical systems for securing user data

Abstract

This paper introduces a Cyber-Physical System (CPS) that can be used to improve privacy protection in enterprise Blockchain (BC) systems, particularly in Hyperledger Fabric (HF). The proposed CPS employs advanced methods to facilitate a privacy-preserving authorization mechanism. Using data masking, Homomorphic Encryption (HE), and complex digital signatures, the model ensures the confidentiality of transaction data during the authorization process. Additionally, the implementation of Secure Multiparty Computation (SMC) and Zero-Knowledge Proofs (ZKP) enhances the security of the data by preventing unauthorized personnel from accessing it and ensuring that the approving peers remain anonymous. The solution proposed in the paper addresses the problems of conventional centralized access control, which can be manipulated and has data leakage problems. Experimental results have proved the design’s practical applicability and security trade-off, providing a robust foundation for enterprises to adopt privacy-preserving BC. Thus, the HF platform integration demonstrates the model’s real-world applicability, which developed a secure, scalable, and efficient solution for handling sensitive transactions in distributed networks.