Application of Blockchain Database in Voting Systems
Keywords:
Electronic voting machines (EVMs), blockchain-based voting system, user interface (UI), security, election resultsAbstract
Nowadays, regular voting is conducted by electronic voting machines, or EVMs, which keep track of every voter's vote in a central database. Moreover, most of the scrutinized voting programs employed centralized data storage for their databases. Because these centralized databases are easily hacked and manipulated, all of the data is kept in one place. As a result, the numbers may not add up correctly during the voting process and may not give us the right answer. Because blockchain employs a decentralized method for data storage, where data is kept in a single location, we may use blockchain technology to construct a decentralized application where data tampering becomes nearly impossible. The fundamental goal of the blockchain-based electronic voting system is to develop an electronic voting system through the use of blockchain technology. This method functions exactly like a traditional voting system, with voters using mobile devices and web browsers to complete the identical process of electronic voting that was previously done through traditional paper-based voting. A review of blockchain technology and its application to the electronic voting system is provided in this paper.
References
Garg K, Saraswat P, Bisht S, Aggarwal SK, Kothuri SK, Gupta S. A comparative analysis on e-voting system using blockchain. In: 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), Ghaziabad, India, April 18–19, 2019. pp. 1–4.
Malvik AG, Witzoee B. Elliptic curve digital signature algorithm and its applications in bitcoin. [Online]. 2015. Available at http://koclab.cs.ucsb.edu/teaching/ecc/project/2015Projects/Malvik+
Witzoee.pdf
Shejwal P, Gaikwad A, Jadhav M, Nanaware N, Shikalgar N. E-voting using blockchain technology. Int J Res Anal Rev. 2018; 5 (4): 895–906.
Indapwar A, Chandak M, Jain A. E-voting system using blockchain technology. Int J Adv Trends Computer Sci Eng. 2020; 9 (3): 2015–2018.
Zheng Z, Xie S, Dai H, Chen X, Wang H. An overview of blockchain technology: architecture, consensus, and future trends. In: 2017 IEEE International Congress on Big Data (BigData Congress), Honolulu, HI, USA, June 25–30, 2017. pp. 557–564.
Golosova J, Romanovs A. The advantages and disadvantages of the blockchain technology. In: 2018 IEEE 6th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE), Vilnius, Lithuania, November 8–10, 2018. pp. 1–6.
Nair-Venugopal S. Issues of language and competence in intercultural business contexts. Lang Intercult Commun. 2015; 15 (1): pp. 29–45.
Teague V, Secure e-voting using identity-based cryptography. 2017.
Maicher L, Mjos KD, Tonisson L. Intervention opportunities for capacity building in technology transfer. In: Granieri M, Basso A, editors. Capacity Building in Technology Transfer. Cham, Switzerland: Springer; 2019. pp. 29–46.
Banerjee S, Das D, Biswas M, Biswas U. Study and survey on blockchain privacy and security issues. In: Williams I, editor. Cross-Industry Use of Blockchain Technology and Opportunities for the Future. Hershey, PA, USA: IGi Global; 2020. pp. 80–102.
Stokel-Walker C. The race to stop bots from taking over the world. New Sci. 2018; 239 (3186):
–23.
Pandey RK, Tiwari RK. Security of electronic voting systems using blockchain technology. In: Tiwari R, Pavone MF, Saraswat M, editors. Proceedings of International Conference on Computational Intelligence, ICCI 2022. Singapore: Springer; 2023. pp. 343–353.
Heilman E, Kendler A, Zohar A, Goldberg S. Eclipse attacks on Bitcoin’s peer-to-peer network. In: 24th USENIX Security Symposium (USENIX Security 15), Washington, DC, USA, August 12–14, 2015. pp. 129–144.
Barnes A, Brake C, Perry T. Digital Voting with the Use of Blockchain Technology. Plymouth, UK: Team Plymouth Pioneers – Plymouth University; 2016.
Hjálmarsson FÞ, Hreiðarsson GK, Hamdaqa M, Hjálmtýsson G. Blockchain-based e-voting system. In: 2018 IEEE 11th international Conference on Cloud Computing (CLOUD), San Francisco, CA, USA, July 2–7, 2018. pp. 983–986.
