Blockchain for Secure Data Exchange
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V4I2P114Keywords:
Blockchain, Secure Data Exchange, Distributed Ledger, Smart Contracts, Data Integrity, Access Control, Decentralization, Cryptographic Protocols, Privacy PreservationAbstract
With the growing prevalence of data-intensive, AI-driven systems, secure and transparent data exchange has become an imperative challenge. Traditional centralized architectures often suffer from single points of failure, susceptibility to tampering, and trust deficits among collaborating parties. Blockchain technology characterised by decentralization, immutability, and consensus-based validation presents a promising alternative for enabling robust data exchange frameworks. Recent work in healthcare and other domains demonstrates that blockchain‐inspired architectures can enhance integrity, access control, and provenance of shared data (Kumar et al., 2023; Nguyen et al., 2023). At the same time, significant gaps remain around scalability, interoperability, and integration with legacy systems (Nguyen et al., 2023; analysis of secure data sharing techniques, 2023).
This paper explores how blockchain can be leveraged to secure data exchange in AI-driven ecosystems, by (1) mapping key blockchain properties to essential data-security dimensions (confidentiality, integrity, availability, provenance, auditability), (2) proposing an architecture tailored to AI workflows, and (3) evaluating the trade-offs in performance, cost, and governance compared with traditional models. The findings indicate that blockchain-enabled exchange systems hold substantial potential in enhancing transparency and trust among participants while reducing reliance on centralized intermediaries. However, practical deployment requires addressing throughput constraints, cross-platform interoperability, and regulatory compliance. The implications for AI applications, data governance, and enterprise integration are discussed, along with directions for future research
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