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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/45940
Title: Blockchain Systems Review and Analysis for Information Security of Big Data
Authors: Zakharov, I.
Anderson, J.
Parsons, G.
Henschel, M.
Keywords: материалы конференций;conference proceedings;information security;DLT;blockchain;big data
Issue Date: 2021
Publisher: UIIP NASB
Citation: Blockchain Systems Review and Analysis for Information Security of Big Data / Zakharov I. [et al.] // Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021) : Proceedings of the 15th International Conference, 21–24 Sept. 2021, Minsk, Belarus / United Institute of Informatics Problems of the National Academy of Sciences of Belarus. – Minsk, 2021. – P. 211–215.
Abstract: Data quantities are rapidly increasing in many industry sectors due to the development of new sensors, mobile and cloud technologies, advancements in IoT and AI, and growth of social and entertainment media. Many applications (e.g. in finance, healthcare, government data) have strict information security requirements for simultaneous access, record updating, and validation in an immutable manner, which can be achieved with distributed ledger technology (DLT). In this paper we review and analyze fifty-eight currently available blockchain (BC) systems and their components in context of the DLT for big data storage, provenance tracking, replication, and sharing. We also elaborate the key BC system components and architecture for major information security concerns.
URI: https://libeldoc.bsuir.by/handle/123456789/45940
Appears in Collections:Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021)

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