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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/45940
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dc.contributor.authorZakharov, I.-
dc.contributor.authorAnderson, J.-
dc.contributor.authorParsons, G.-
dc.contributor.authorHenschel, M.-
dc.date.accessioned2021-11-18T06:28:44Z-
dc.date.available2021-11-18T06:28:44Z-
dc.date.issued2021-
dc.identifier.citationBlockchain 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.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/45940-
dc.description.abstractData 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.ru_RU
dc.language.isoenru_RU
dc.publisherUIIP NASBru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectconference proceedingsru_RU
dc.subjectinformation securityru_RU
dc.subjectDLTru_RU
dc.subjectblockchainru_RU
dc.subjectbig dataru_RU
dc.titleBlockchain Systems Review and Analysis for Information Security of Big Dataru_RU
dc.typeСтатьяru_RU
Appears in Collections:Pattern Recognition and Information Processing (PRIP'2021) = Распознавание образов и обработка информации (2021)

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