Blockchain-driven information systems for secure data exchange and trust management in distributed enterprises

Abstract

In recent years, decentralized networks have increasingly relied on secure and efficient data exchange systems to support large-scale operations and collaborative processes. Traditional centralized systems face challenges in scalability, transparency, and trust management, which blockchain technology can address. However, existing research has primarily focused on data integrity and static trust models, neglecting dynamic trust propagation, privacy concerns, and the interpretability of trust-related decisions. This study proposes a blockchain-driven information system that integrates a Trust Score Aggregation Module (TSAM), a Hybrid Consensus Protocol (HCP), and a Privacy-Preserving Smart Contract Framework (PPSCF) to address these gaps. The TSAM enables dynamic trust propagation, while the HCP optimizes communication efficiency, and the PPSCF ensures privacy through zero-knowledge proofs. Experimental results show that the proposed system reduces latency by 27.3 % (0.98±0.07 s), increases throughput by 27.1 % (140±6 tps), and achieves a 33.3 % reduction in trust variance compared to baseline systems. The system also improves interpretability by 22.0 %, maintaining low privacy overhead (5.1±0.8 %). This research advances the understanding of blockchain-based trust management in decentralized environments, providing a scalable, interpretable, and privacy-preserving framework that can be applied across various domains and operational scales. The proposed methodology lays a foundation for future blockchain applications in large-scale systems, particularly in environments requiring robust data governance and compliance.