Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/17443
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dc.contributor.authorDorosh, Roman-
dc.date.accessioned2023-10-11T06:11:55Z-
dc.date.available2023-10-11T06:11:55Z-
dc.date.issued2022-11-29-
dc.identifier.citationR. Dorosh, "Application of blockchain and the SimHash algorithm to detect plagiarism," 2022 International Conference on Innovative Solutions in Software Engineering (ICISSE), Vasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, Ukraine, Nov. 29-30, 2022, pp. 130-134, doi: 10.5281/zenodo.8429018uk_UA
dc.identifier.isbn978-966-640-534-3-
dc.identifier.other10.5281/zenodo.8429018-
dc.identifier.urihttps://zenodo.org/record/8429018-
dc.identifier.urihttp://hdl.handle.net/123456789/17443-
dc.description.abstractIn this paper, a novel, unified approach for detecting plagiarism was proposed. It is built on the Ethereum blockchain environment and uses the SimHash algorithm for similarity detection, scalability and plagiarism detection in education field as main area of application. Through a network of social and smart contracts, Blockchain technology will function as an open technology that protects against unwanted access, but at the same time will save timestamp and current state of the analyzed documents. Also, the unified algorithm was compared to widely used TF-IDF algorithm on the same dataset and showed improvement by nearly 7%.uk_UA
dc.language.isoen_USuk_UA
dc.publisherVasyl Stefanyk Precarpathian National Universityuk_UA
dc.subjecthttps://zenodo.org/record/8429018uk_UA
dc.subjectSimHashuk_UA
dc.subjectBlockchainuk_UA
dc.subjectSmart-contractsuk_UA
dc.subjectEducationuk_UA
dc.subjectNatural Language Processinguk_UA
dc.subjectEthereum Virtual Machineuk_UA
dc.titleApplication of blockchain and the SimHash algorithm to detect plagiarismuk_UA
dc.typeArticleuk_UA
Appears in Collections:Наукові роботи студентів, магістрантів, аспірантів (ФМІ)

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