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Abstracting Data in Distributed Ledger Systems for Higher Level Analytics and Visualizations

Author

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  • Leny Vinceslas

    (Institute for Digital Technologies, Loughborough University London, London E20 3BS, UK
    Institute of Sound Recording, University of Surrey, Guildford GU2 7XH, UK)

  • Safak Dogan

    (Institute for Digital Technologies, Loughborough University London, London E20 3BS, UK)

  • Srikumar Sundareshwar

    (RegulAItion Ltd., Belmont Business Centre, Lewes BN8 6QL, UK)

  • Ahmet M. Kondoz

    (Institute for Digital Technologies, Loughborough University London, London E20 3BS, UK)

Abstract

By design, distributed ledger technologies persist low-level data, which makes conducting complex business analysis of the recorded operations challenging. Existing blockchain visualization and analytics tools such as block explorers tend to rely on this low-level data and complex interfacing to provide an enriched level of analytics. The ability to derive richer analytics could be improved through the availability of a higher level abstraction of the data. This article proposes an abstraction layer architecture that enables the design of high-level analytics of distributed ledger systems and the decentralized applications that run on top. Based on the analysis of existing initiatives and identification of the relevant user requirements, this work aims to establish key insights and specifications to improve the auditability and intuitiveness of distributed ledger systems by leveraging the development of future user interfaces. To illustrate the benefits offered by the proposed abstraction layer architecture, a regulated sector use case is explored.

Suggested Citation

  • Leny Vinceslas & Safak Dogan & Srikumar Sundareshwar & Ahmet M. Kondoz, 2023. "Abstracting Data in Distributed Ledger Systems for Higher Level Analytics and Visualizations," Future Internet, MDPI, vol. 15(1), pages 1-15, January.
    • Handle: RePEc:gam:jftint:v:15:y:2023:i:1:p:33-:d:1031792
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    References listed on IDEAS

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    1. Kshetri, Nir, 2017. "Blockchain's roles in strengthening cybersecurity and protecting privacy," Telecommunications Policy, Elsevier, vol. 41(10), pages 1027-1038.
    2. Dennis Przytarski & Christoph Stach & Clémentine Gritti & Bernhard Mitschang, 2021. "Query Processing in Blockchain Systems: Current State and Future Challenges," Future Internet, MDPI, vol. 14(1), pages 1-31, December.
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    Cited by:

    1. Christoph Stach & Clémentine Gritti, 2023. "Special Issue on Security and Privacy in Blockchains and the IoT Volume II," Future Internet, MDPI, vol. 15(8), pages 1-7, August.

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