Smart Election: Blockchain Based Machine Learning Solution for e-Voting Electoral System

Silva H. K. M. DFaculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri LankaDe Silva M.W.M.RFaculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri LankaWithanage P.AFaculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri LankaHettiarachchi R.TFaculty of Computing, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka

Vol 7 No 11 (2023): Volume 7, Issue 11, November 2023 | Pages: 611-614

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 25-11-2023

doi Logo doi.org/10.47001/IRJIET/2023.711081

Abstract

An essential part of a nation's political life cycle is election. Any e-voting program must guarantee the privacy, authenticity, and integrity of citizens' votes and personal information. We suggest a reliable electronic voting system built on machine learning and blockchain concepts to allay these worries. However, there are a few issues with this electronic voting technology. It can be compromised by using a mobile application or website to complete the voting paper. The suggested blockchain-based electronic voting method provides confidence, transparency, and treasury while guarding against network intrusions.

Keywords

Anonymous, Integrity, authenticity, blockchain, intrusions


Citation of this Article

Silva H. K. M. D, De Silva M.W.M.R, Withanage P.A, Hettiarachchi R.T, “Smart Election: Blockchain Based Machine Learning Solution for e-Voting Electoral System” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 11, pp 611-614, November 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.711081

References
  1. M. P. Wattenberg, Is voting for young people? Routledge, 2020.
  2. D. P. Redlawsk and M. W. Habegger, A Citizen’s Guide to the Political Psychology of Voting. Routledge, 2020.
  3. C. Marsden, T. Meyer, and I. Brown, “Platform values and democratic elections: How can the law regulate digital disinformation?” Computer Law and Security Review, vol. 36, p. 105373, 2020. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S026736 491930384X.
  4. T. Dimitriou, “Efficient, coercion-free and universally verifiable blockchain-based voting,” Computer Networks, vol. 174, p. 107234, 2020. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S1389128619317414.
  5. Y. Xiao, H. Deng, X. Lu, and J. Wu, “Optimal ballot- length in approval balloting-based multi-winner elections,” Decision Support Systems, vol. 118, pp. 1 – 9, 2019. [Online]. Available: http://www.sciencedirect.com/science/article/pii/S0167923618 301994.
  6. J. Li, X. Wang, Z. Huang, L. Wang, and Y. Xiang, “Multi-level multi-secret sharing scheme for decentralized e-voting in cloud computing,” Journal of Parallel and Distributed Computing, vol. 130, pp. 91 – 97, 2019. [Online]. Available: http://www.sciencedirect.com/ science/article/pii/S074373151930262X.
  7. K. M. AboSamra, A. A. AbdelHafez, G. M. Assassa, and M. F. Mursi, “A practical, secure, and auditable e- voting system,” Journal of Information Security and Applications, vol. 36, pp. 69 – 89, 2017. [Online]. Available: http://www.sciencedirect.com/science/article/pii/
  8. M. Warkentin, S. Sharma, D. Gefen, G. M. Rose, and P. Pavlou, “Social identity and trust in internet-based voting adoption,” Government Information Quarterly, vol. 35, no. 2, pp. 195 – 209, 2018.