A New Architecture for Data Analysis on Blockchain Without Data Replication

Miguel Rodrigues Baptista (), Miguel Mira da Silva (), Paulo Rupino da Cunha () and Cláudia Antunes ()
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Miguel Rodrigues Baptista: Instituto Superior Técnico & INOV
Miguel Mira da Silva: Instituto Superior Técnico & INOV
Paulo Rupino da Cunha: CISUC, DEI
Cláudia Antunes: Instituto Superior Técnico

A chapter in Advances in Information Systems Development, 2024, pp 23-40 from Springer

Abstract: Abstract The interest on the discovery of information hidden in large amounts of data exploded in the last decade, bringing to light the need of efficient and effective tools to access all sources and kinds of data. On the other hand, the need to secure and share valuable data led to the development of new technologies, like blockchain, that warrant data integrity and transparency. Combining both is a natural demand, but several issues become clear, such as the lack of access efficiency and the need of data replication in common solutions. Indeed, the unique existing approach is by emulating queries, mostly through Smart Contracts, and applying traditional machine learning algorithms over the resulting data, stored externally for allowing multiple accesses. In this paper, we performed a systematic literature review that provides the above conclusions. Later, we discuss a new system architecture for the analysis of data stored in a blockchain, exploring the scalability and high-performance of data access in distributed file systems and the fast and up-to-date predictions of a streaming analysis approach.

Keywords: Blockchain; Information system security; Data analysis; Incremental machine learning; Distributed file system (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-57189-3_2

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DOI: 10.1007/978-3-031-57189-3_2

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