Published September 30, 2022
| Version v1
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Improving and implementing blockchain-based system in educational field
Description
This paper proposed new unified algorithm for plagiarism detection based on Ethereum blockhain ecosystem with similarity detection SimHash algorithm which works on around multi - billion pages in a reasonable amount of time. Blockchain will act as a transparent technology against unauthorized access through a system of social and smart contracts.
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References
- M. S. Ali, M. Vecchio, M. Pincheira, K. Dolui, F. Antonelli and M. H. Rehmani, "Applications of Blockchains in the Internet of Things: A Comprehensive Survey," in IEEE Communications Surveys & Tutorials, vol. 21, no. 2, pp. 1676-1717, Secondquarter 2019, doi: 10.1109/COMST.2018.2886932
- S. Nakamoto, "Bitcoin: A Peer-to-Peer Electronic Cash System", Aug 2022, [online] Available: https://bitcoin.org/bitcoin.pdf
- V.Buterin, "Ethereum: A Next-Generation Smart Contract and Decentralized Application Platform", Aug 2022, [online] Available: 267 https://ethereum.org/669c9e2e2027310b6b3cdce6e1c52962/Ethereum_Whitepaper_-_Buterin_2014.pdf
- Anzelmi, Daniele, Domenico Carlone, Fabio Rizzello, Robert Thomsen and Dil Muhammad Akbar Hussain. "Plagiarism Detection Based on SCAM Algorithm." IMECS 2011 (2011)
- M. Kozlenko, I. Lazarovych, V. Tkachuk and V. Vialkova, "Software Demodulation of Weak Radio Signals using Convolutional Neural Network," 2020 IEEE 7th International Conference on Energy Smart Systems (ESS), 2020, pp. 339-342, doi: 10.1109/ESS50319.2020.9160035
- M. Kozlenko and V. Vialkova, "Software Defined Demodulation of Multiple Frequency Shift Keying with Dense Neural Network for Weak Signal Communications," 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), 2020, pp. 590-595, doi: 10.1109/TCSET49122.2020.235501
- M. Kozlenko,V. Sendetskyi, O. Simkiv, N. Savchenko, A. Bosyi, "Identity Documents Recognition and Detection using Semantic Segmentation with Convolutional Neural Network (short paper)". Cybersecurity Providing in Information and Telecommunication Systems 2021 (CPITS), 2021, pp. 234-242
- Dutchak, M., Kozlenko, M., Lazarovych, I., Lazarovych, N., Pikuliak, M., Savka, I. "Methods and Software Tools for Automated Synthesis of Adaptive Learning Trajectory in Intelligent Online Learning Management Systems". Innovations in Smart Cities Applications Volume 4. SCA 2020. Lecture Notes in Networks and Systems, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-030-66840-2_16
- C. Pungilă, D. Galis, V. Negru, "A New High-Performance Approach to Approximate Pattern-Matching for Plagiarism Detection in Blockchain-Based Non-Fungible Tokens (NFTs)", arXiv:2205.14492 [cs.CR], May 2022
- G.S. Manku, A. Jain, A.D. Sarma, "Detecting Near-Duplicates for Web Crawling", research.google.com, 268 https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/33026.pdf (accessed Aug. 23, 2022)
- "All the news dataset". Kaggle.com https://www.kaggle.com/datasets/snapcrack/all-the-news (accessed Aug. 27, 2022)