Communication Papers of the 18th Conference on Computer Science and Intelligence Systems

DOI: http://dx.doi.org/10.15439/2023F9620

Citation: Communication Papers of the 18th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 37, pages 329–333 (2023)

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Abstract. We consider the problem of researcher output identification and its verification. Nowadays, researcher outputs verification is a challenging problem faced by institutions that want, for example, employ such a researcher. Usually, there is no verification, and the aforementioned institutions rely on trust that the received documents are authentic. Our solution is a based on blockchain technology, a public ledger with smart contracts, that is the root of emerging web3. We use the public wallet address as the researcher identification number and the wallet as the store of all researcher credentials. This paper presents ERC-721 standard-based solution and addresses the conference certification case. The solution proposed in this paper addresses two challenges that arise in collecting and verifying data on research output for managing, monitoring, and evaluating purposes. We show that the public wallet address can be successfully used as the researcher identification number, and the wallet can be used as a vault of all the researcher credentials.

References

1. S. Nakamoto, “Bitcoin: A peer-to-peer electronic cash system,” Decentralized Business Review, p. 21260, 2008.
2. V. Buterin, “Ethereum white paper: A next generation smart contract & decentralized application platform,” 2013.
3. D. Efanov and P. Roschin, “The all-pervasiveness of the blockchain technology,” Procedia computer science, vol. 123, pp. 116–121, 2018.
4. S. J. Porter, “Measuring Research Information Citizenship Across ORCID Practice,” Frontiers in Research Metrics and Analytics, vol. 7, p. 779097, Mar. 2022.
5. M. Andoohgin Shahri, M. D. Jazi, G. Borchardt, and M. Dadkhah, “Detecting Hijacked Journals by Using Classification Algorithms,” Science and Engineering Ethics, vol. 24, pp. 655–668, Apr. 2017.
6. E. Kulczycki, M. Hołowiecki, Z. Taşkın, and G. Doğan, “Questionable conferences and presenters from top-ranked universities,” Journal of Information Science, 2022.
7. W. Entriken, D. Shirley, D. Evans, and N. Sachs, “ERC721.” https://eips.ethereum.org/EIPS/eip-721, 2018. Accessed: 2022-04-20.
8. M. Alshahrani, N. Beloff, and M. White, “Revolutionising higher education by adopting blockchain technology in the certification process,” in 2020 International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT), pp. 1–6, IEEE, 2020.
9. S. Cardoso, H. São Mamede, and V. Santos, “Reference model for academic results certification in student mobility scenarios: Position paper,” in 2020 15th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–4, IEEE, 2020.
10. L. Gao, “Management of online education based on blockchains,” in 2020 International Conference on Modern Education and Information Management (ICMEIM), pp. 84–89, IEEE, 2020.
11. C. Li, J. Guo, G. Zhang, Y. Wang, Y. Sun, and R. Bie, “A blockchain system for e-learning assessment and certification,” in 2019 IEEE International Conference on Smart Internet of Things (SmartIoT), pp. 212–219, IEEE, 2019.
12. J. Gupta and S. Nath, “Skillcheck: An incentive-based certification system using blockchains,” in 2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), pp. 1–3, IEEE, 2020.
13. M. P. Jaramillo and N. Piedra, “Use of blockchain technology for academic certification in higher education institutions,” in 2020 XV Conferencia Latinoamericana de Tecnologias de Aprendizaje (LACLO), pp. 1–8, IEEE, 2020.
14. W. Cai, Z. Wang, J. B. Ernst, Z. Hong, C. Feng, and V. C. Leung, “Decentralized applications: The blockchain-empowered software system,” IEEE Access, vol. 6, pp. 53019–53033, 2018.
15. J. Benet, “Ipfs-content addressed, versioned, p2p file system,” arXiv preprint https://arxiv.org/abs/1407.3561, 2014.
16. A. S. Anwar, U. Rahardja, A. G. Prawiyogi, N. P. L. Santoso, et al., “ilearning model approach in creating blockchain based higher education trust,” International Journal of Artificial Intelligence Research, vol. 6, no. 1, 2022.
17. A. Pfefferling and P. Kehling, “Design disclosure for blockchain-based application used in public education certificates with electronic hashes,” in Konferenzband zum Scientific Track der Blockchain Autumn School 2021, no. 004, pp. 034–041, Hochschule Mittweida, 2021.
18. J. Franken, A. Birukou, K. Eckert, W. Fahl, C. Hauschke, and C. Lange, “Persistent identification for conferences,” Data Science Journal, vol. 21, no. 1, 2022.
19. R. Susik and R. Nowotniak, “Pattern matching algorithms in blockchain for network fees reduction,” arXiv http://dx.doi.org/10.48550/ARXIV.2207.14592, 2022.
20. A. Di Sorbo, S. Laudanna, A. Vacca, C. A. Visaggio, and G. Canfora, “Profiling gas consumption in solidity smart contracts,” Journal of Systems and Software, vol. 186, p. 111193, 2022.
21. G. A. Pierro, H. Rocha, S. Ducasse, M. Marchesi, and R. Tonelli, “A user-oriented model for oracles’ gas price prediction,” Future Generation Computer Systems, vol. 128, pp. 142–157, 2022.