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http://hdl.handle.net/123456789/17443
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DC Field | Value | Language |
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dc.contributor.author | Dorosh, Roman | - |
dc.date.accessioned | 2023-10-11T06:11:55Z | - |
dc.date.available | 2023-10-11T06:11:55Z | - |
dc.date.issued | 2022-11-29 | - |
dc.identifier.citation | R. 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.8429018 | uk_UA |
dc.identifier.isbn | 978-966-640-534-3 | - |
dc.identifier.other | 10.5281/zenodo.8429018 | - |
dc.identifier.uri | https://zenodo.org/record/8429018 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/17443 | - |
dc.description.abstract | In 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.iso | en_US | uk_UA |
dc.publisher | Vasyl Stefanyk Precarpathian National University | uk_UA |
dc.subject | https://zenodo.org/record/8429018 | uk_UA |
dc.subject | SimHash | uk_UA |
dc.subject | Blockchain | uk_UA |
dc.subject | Smart-contracts | uk_UA |
dc.subject | Education | uk_UA |
dc.subject | Natural Language Processing | uk_UA |
dc.subject | Ethereum Virtual Machine | uk_UA |
dc.title | Application of blockchain and the SimHash algorithm to detect plagiarism | uk_UA |
dc.type | Article | uk_UA |
Appears in Collections: | Наукові роботи студентів, магістрантів, аспірантів (ФМІ) |
Files in This Item:
File | Description | Size | Format | |
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2022_ICISSE_Dorosh.pdf | 251.11 kB | Adobe PDF | View/Open |
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