Blockchain and Machine Learning Powered Secure Online Voting System
DOI:
https://doi.org/10.32628/IJSRSET25122297Keywords:
Blockchain, Voting, Online Voting System, Face Recognition, OTP Verification, Biometric Authentication, Machine Learning, Digital Voting, Secure VotingAbstract
This project report introduces a robust and scalable online voting system that leverages blockchain technology, machine learning, and facial recognition to overcome common issues related to electoral security, transparency, and accessibility. Traditional voting methods are often vulnerable to identity theft, voter impersonation, and data manipulation—threats that compromise the integrity and credibility of election outcomes. By incorporating blockchain, the system ensures that each vote is permanently and securely recorded on a decentralized ledger, preventing unauthorized alterations and enhancing transparency. The report outlines the system's technical architecture, including the implementation of smart contracts for automatic vote verification and tallying. It also explains the secure handling and encryption of biometric data stored on the blockchain. Furthermore, the report discusses the key advantages, limitations, and future development opportunities of the platform. The proposed solution demonstrates a significant advancement in digital voting, offering a secure, transparent, and accessible alternative to conventional methods. Its potential applicability spans across large-scale elections in governmental bodies as well as decision-making processes in private organizations.
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Zhao, Z., Chan, A., & Lo, B. (2019). "Online Voting Security: Requirements and Evaluation Guidelines." IEEE Access, 7, 130112–130124. https://doi.org/10.1109/ACCESS.2019.2939779
Pilkington, M. (2016). "Blockchain technology: principles and applications." In Research Handbook on Digital Transformations, Edward Elgar Publishing.
Kshetri, N., & Voas, J. (2018). "Blockchain-Enabled E-Voting." IEEE Software, 35(4), 95–99. https://doi.org/10.1109/MS.2018.2801546
Zyskind, G., Nathan, O., & Pentland, A. (2015). "Decentralizing privacy: Using blockchain to protect personal data." In 2015 IEEE Security and Privacy Workshops, 180–184. https://doi.org/10.1109/SPW.2015.27
Ali, S., Zafar, H., & Munir, K. (2021). "Blockchain-Based Secure Voting: A Review." International Journal of Computer Applications, 182(39), 24–30.
S. Nakamoto, “Bitcoin: A Peer-to-Peer Electronic Cash System,” 2008. [Online]. Available: https://bitcoin.org/bitcoin.pdf
G. Zyskind, O. Nathan and A. Pentland, “Decentralizing privacy: Using blockchain to protect personal data,” in 2015 IEEE Security and Privacy Workshops (SPW), San Jose, CA, USA, 2015, pp. 180–184. doi: 10.1109/SPW.2015.27
N. Kaaniche and M. Laurent, “Privacy enhancing blockchain technologies: A survey,” in 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Rome, Italy, 2017, pp. 1–8. doi: 10.1109/WiMOB.2017.8115800
H. Li, X. Sui, and H. Wang, “Blockchain-Based E-Voting System: A Systematic Review,” IEEE Access, vol. 9, pp. 21198–21223, 2021. doi: 10.1109/ACCESS.2021.3056472
OpenCV Developers, “OpenCV (Open Source Computer Vision Library),” 2023. [Online]. Available: https://opencv.org
O. M. Parkhi, A. Vedaldi, and A. Zisserman, “Deep Face Recognition,” in Proc. British Machine Vision Conference (BMVC), 2015, vol. 1, no. 3, pp. 1–12.
V. Buterin, “Ethereum: A Next-Generation Smart Contract and Decentralized Application Platform,” Ethereum White Paper, 2013. [Online]. Available: https://ethereum.org/en/whitepaper/
R. Ali and A. Awad, “A Secure Blockchain-Based Voting System Using Smart Contracts and Face Recognition,” in Emerging Technologies in Computing, Advances in Intelligent Systems and Computing, vol. 1186, pp. 147–158, Springer, 2020. doi: 10.1007/978-3-030-60036-5_11
T. Sharma and P. Kaur, “Biometric Authentication for E-Voting System Using Blockchain,” International Journal of Computer Applications, vol. 176, no. 27, pp. 25–30, 2020. doi: 10.5120/ijca2020920520
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