English

Blockchain-based Personal Data Management: From Fiction to Solution

Distributed, Parallel, and Cluster Computing 2019-08-29 v1 Cryptography and Security

Abstract

The emerging blockchain technology has enabled various decentralised applications in a trustless environment without relying on a trusted intermediary. It is expected as a promising solution to tackle sophisticated challenges on personal data management, thanks to its advanced features such as immutability, decentralisation and transparency. Although certain approaches have been proposed to address technical difficulties in personal data management; most of them only provided preliminary methodological exploration. Alarmingly, when utilising Blockchain for developing a personal data management system, fictions have occurred in existing approaches and been promulgated in the literature. Such fictions are theoretically doable; however, by thoroughly breaking down consensus protocols and transaction validation processes, we clarify that such existing approaches are either impractical or highly inefficient due to the natural limitations of the blockchain and Smart Contracts technologies. This encourages us to propose a feasible solution in which such fictions are reduced by designing a novel system architecture with a blockchain-based "proof of permission" protocol. We demonstrate the feasibility and efficiency of the proposed models by implementing a clinical data sharing service built on top of a public blockchain platform. We believe that our research resolves existing ambiguity and take a step further on providing a practically feasible solution for decentralised personal data management.

Keywords

Cite

@article{arxiv.1908.10630,
  title  = {Blockchain-based Personal Data Management: From Fiction to Solution},
  author = {Nguyen Truong and Kai Sun and Yike Guo},
  journal= {arXiv preprint arXiv:1908.10630},
  year   = {2019}
}

Comments

8 pages, 5 figures; accepted to be published as full paper at IEEE International Symposium on Network Computing and Applications (NCA 2019)

R2 v1 2026-06-23T10:58:49.635Z