Thesis/Dissertation: Bc. David Gajdoš: Implementation of Integrity and Non-repudiation for Distributed Provenance Information
Master's thesis
Implementation of Integrity and Non-repudiation for Distributed Provenance Information
Abstract
Provenance je informace dokumentující historii entit, aktivit a agentů. Provenance informace lze serializovat do několika populárních serializačních formátů jako je PROV-XML, PROV-JSON nebo PROV-N, jež mohou být následně zveřejněny. Ostatní uživatelé pak mohou zhodnotit kvalitu, spolehlivost a důvěryhodnost těchto popsaných entit, aktivit a agentů. Common Provenance Model přichází s mechanismy pro …more
Abstract
Provenance is information that documents the history of entities, activities, and agents. Such information can be serialized into one of the popular serialization formats, such as PROV-XML, PROV-JSON, or PROV-N which can then be made publicly available. Others may then form assessments about the quality, reliability and trustworthiness of these described entities, activities and agents. The Common …more
Thesis description
24/5/2024 11:59, RNDr. Rudolf Wittner, UČO 396340
Literature
- FAIRWEATHER, Elliot; Rudolf WITTNER; Martin CHAPMAN; Petr HOLUB and Vasa CURCIN. Non-repudiable provenance for clinical decision support systems. In Lecture Notes in Computer Science. Cham: Springer, 2021, p. 165-182. ISBN 978-3-030-80959-1. Available from: https://doi.org/10.1007/978-3-030-80960-7_10.
- WITTNER, Rudolf; Cecilia MASCIA; Matej GALLO; Francesca FREXIA; Heimo MÜLLER; Markus PLASS; Jörg GEIGER and Petr HOLUB. Lightweight Distributed Provenance Model for Complex Real–world Environments. Scientific Data. Berlin: Nature Research, 2022, vol. 2022, No 9, p. 1-19. ISSN 2052-4463. Available from: https://doi.org/10.1038/s41597-022-01537-6.
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