Enhancing Voting Security and Efficiency: An Electronic Voting Machine (EVM) System Integrated With Biometric Identifiers

Nikhil Ranjan

doi:10.57159/gadl.jcmm.2.3.23065

Authors

Nikhil Ranjan Department of Computer Science Engineering, Galgotia University, Greater Noida, Uttar pradesh, India 201308 https://orcid.org/0000-0002-4982-820X

DOI:

https://doi.org/10.57159/gadl.jcmm.2.3.23065

Keywords:

Electronic Voting Machines, Biometric Identifiers, Voting Security, Facial Recognition, Fingerprint Authentication

Abstract

This study explores developing and implementing a novel Electronic Voting Machine (EVM) system integrated with biometric identifiers to enhance voting security and efficiency significantly. Traditionally, voting processes relied on paper ballots, a system fraught with several challenges, including over-voting, the loss or misplacement of ballot papers, environmental harm due to paper consumption, and a lengthy result compilation process. An advanced EVM system is proposed to address these issues, leveraging unique biometric identifiers - facial recognition and fingerprints - for voter authentication and secure vote recording. Our EVM system effectively improves the security against bogus voting and vote repetition, which have been significant concerns in previous voting systems. This robust approach to voter authentication minimizes the likelihood of voting fraud, thus contributing to a more reliable and secure voting process. However, the transition to this advanced EVM system is challenging. The study identifies key
implications, including the impact on employment due to automation, potential inaccuracies and biases associated with biometric technologies, and vital privacy concerns surrounding using sensitive biometric data. Despite these challenges, the proposed system provides a substantial foundation for future enhancements. Opportunities for further development include the integration of additional biometric identifiers like iris recognition, refining the accuracy of current biometric technologies, and strengthening data privacy measures.

Author Biography

Nikhil Ranjan, Department of Computer Science Engineering, Galgotia University, Greater Noida, Uttar pradesh, India 201308

Mr. Nikhil Ranjan, an Assistant Professor in the School of Computing Science Engineering at Galgotias University, is a dedicated educator with over seven years of experience in teaching Computer Science. He is distinguished by his commitment to fostering critical thinking and problem-solving skills. His academic credentials include an M.Tech in Cyber Forensics and a PhD in progress. Ranjan is recognized as a proficient cybersecurity expert, holding certifications in Ethical Hacking and Network Security. He was awarded the Best Faculty Award by Poornima University in 2019-20 for his exceptional teaching. A prolific researcher, he has contributed to national and international journals and conferences. His expert-led workshops in Mobile Forensics, Web Security, and Intellectual Property Rights have been instrumental in academia. Specializing in areas like Cyber Forensics, Ethical Hacking, and Network Security, Ranjan continues to impact the realm of Computer Science with his expertise.

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