Abstract
The voting process plays a key role in electing the decision-makers in democratic countries like India. Nowadays the electronic voting machine is widely used, which has extensively reduced counting times as compared to the older election process that used ballots. This is the motivation to propose a work that automates the process of voting using biometrics, the Internet of Things (IoT), and cloud storage. This would reduce the time, expenses, and human effort. The proposed system prevents fake votes using biometric validation, making it more credible. This mechanism is more secure as it would use a two-step verification process implemented using OTP sent through SMS. The proposed system is to be made on Raspberry Pi and contains an LCD touch screen, enabling a smooth interface for voting and a fingerprint scanner for biometric verification. Results will be instantly available on storage which reduce counting time. We are confident that introducing this system in the general elections would bring a remarkable change in the election process.
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References
Voting and Elections Homepage. http://homepage.divms.uiowa.edu/~jones/voting/. Last accessed 2020/10/17
Michael D, Laurence M (2018) Overview of software security issues in direct-recording electronic voting machines. In: ICCWS 2018 13th international conference on cyber warfare and security. Int J Inf Comput Secur 182–190 (Washington)
Anandaraj S, Anish R, Devakumar PV (2015) Secured electronic voting machine using biometric". In: International conference on innovations in information, embedded and communication systems (ICIIECS). IEEE, Coimbatore, pp 1–5
Manjulatha CH, Sridhar S (2016) Electronic voting machine using fingerprint. In: IJPRES VII(4):274–277
Deepika J, Kalaiselvi S, Mahalakshmi S, Shifani SA (2017) Smart electronic voting system based on biometric identification-survey. In: Third international conference on science technology engineering & management (ICONSTEM). IEEE, Chennai, pp 939–942
Andrew J, David N, Alwin G (2004) Biohashing: two-factor authentication featuring fingerprint data and tokenized random number pattern recognition. In: Pattern recognition, vol 37, issue no 11, pp 2245–2255
Arooj A, Riaz M (2016) Electronic voting with biometric verification offline and hybrid EVMs solution. In: Sixth international conference on innovative computing technology (INTECH). Dublin, pp 332–337
Alex B, Johann G (2011) Cryptanalysis of the full AES using GPU-like special-purpose hardware. In: IACR cryptology archive 2011/710
Mohamed Z, Nakirya K (2018) A secure e-voting system using biometric fingerprint and crypt-watermark methodology. In: ASCENT international conference proceedings—information systems and engineering. Kuala Lumpur
Acknowledgements
We are grateful to the management of SSN College of Engineering, Chennai, for encouraging us to conduct our research in areas of interests by supporting us financially.
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Vignesh, B., Sricharan, P.P., Shankrith Chokkalingam, S., Bhuvana, J., Bharathi, B. (2022). E-Biometric Voting Machine. In: Sivasubramanian, A., Shastry, P.N., Hong, P.C. (eds) Futuristic Communication and Network Technologies. VICFCNT 2020. Lecture Notes in Electrical Engineering, vol 792. Springer, Singapore. https://doi.org/10.1007/978-981-16-4625-6_50
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DOI: https://doi.org/10.1007/978-981-16-4625-6_50
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