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EBSS: A secure blockchain-based sharing scheme for real estate financial credentials

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Abstract

With the development of Internet finance, the real estate financial credentials have been extensively utilized in capital and trading markets. The extensive use of these private credentials, e.g., exchange, circulation or sharing on public clouds, can cause severe security and privacy problems. Existing security solutions for financial credentials may either introduce undesired overhead or fail to provide traceability and anonymity for data sharing. In this paper, we propose an enhanced blockchain-based secure sharing scheme for real estate financial credentials, providing the following three properties: credential confidentiality, anonymous authentication, identity tracking and transaction auditing. A comprehensive evaluation, including security analysis, efficiency analysis and simulation evaluation, is presented to show the security and feasibility of the proposed scheme.

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Data availability

Our simulation dataset is from “Zillow”, which is a public dataset on real estate transactions. Data sets used or analyzed during the current study are available, either by direct request from the following link, i.e., https://www.zillow.com/research/data/, or from the corresponding author on necessary conditions or reasonable request only for academic research purposes.

Code availability

Source code used or analyzed during the current study is available from the corresponding author on reasonable request. The source code required to reproduce our work findings is not appropriate to share at this time as the code and data also form part of an ongoing study.

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Acknowledgements

This work is supported in part by the National Natural Science Foundation of China under Grant 61672029 and Grant 61972366, Open Research Project of The Hubei Key Laboratory of Intelligent Geo-Information Processing.

Funding

This work is supported in part by the National Natural Science Foundation of China under Grant 61672029 and Grant 61972366, Open Research Project of The Hubei Key Laboratory of Intelligent Geo-Information Processing.

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Authors and Affiliations

  1. School of Computer Science, China University of Geosciences, Wuhan, **cheng Street, Wuhan, 430078, Hubei, China

    Yadi Wu, Guiyao Tie, Yao Yu & Jun Song

  2. School of Information Technology, Deakin University, Brougham Street, Geelong VIC, 3220, Victoria, Australia

    Jianxin Li

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Contributions

In this work, each author contributed as follows: Yadi Wu is mainly with the research goals evolution, methodological designs, algorithm designs, method validation, and writing and preparation of the original manuscript; Guiyao Tie is mainly with the data collection, software implementation, data and experimental result analysis, and experimental verification, and preparation of the original manuscript; Yao Yu is mainly with the model designs, algorithm validation, formal analysis, experimental results analysis, and writing and preparation of the manuscript; Jianxin Li is in charge of methodological design, formal analysis, algorithm analysis, research activity supervision, critical revision, and writing-review and editing of the manuscript; Jun Song is in charge of research goals evolution, methodological designs, formal analysis, security analysis, research activity supervision and management, critical revision, and in-depth writing-review and editing of the manuscript.

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Correspondence to Jun Song.

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With regard to this submitted manuscript entitled “EBSS: A secure blockchain-based sharing scheme for real estate financial credentials”, we declare as follows:

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Guiyao Tie, Yao Yu and Jianxin Li contributed equally to this work.

This article belongs to the Topical Collection: Web-based Intelligent Financial Services

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Wu, Y., Tie, G., Yu, Y. et al. EBSS: A secure blockchain-based sharing scheme for real estate financial credentials. World Wide Web 26, 1599–1624 (2023). https://doi.org/10.1007/s11280-022-01106-2

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