Back close

Secure Vote: AI-powered Fingerprint Authentication for Next-Generation Online Voting

Publication Type : Book Chapter

Publisher : IEEE

Source : International Conference on Electronics, Communication and Aerospace Technology (ICECA)

Url : https://ieeexplore.ieee.org/abstract/document/10394882

Campus : Amritapuri

School : School of Computing

Year : 2023

Abstract : Democratic societies place significant importance on secure and efficient voting systems as a cornerstone of their governance. Normally, the voting process would follow a traditional ballot system involving tedious paperwork. It all takes a lot of time to manually count the votes, which may lead to human errors in counting or missing votes. However, other concerns surrounding the security and reliability of e-voting systems have initiated the development of more robust approaches. The proposed Secure Vote system presents an AI-enabled voting solution that enhances the security and reliability of the voting process by incorporating dual-factor authentication through a unique identification number and the utilisation of fingerprints. It also has the potential to provide a secure and trustworthy platform for democratic societies to exercise their voting rights.

Cite this Research Publication : Suresh, Anjana, Aishwarea Gupthan, S. Abhishek, and T. Anjali. "Secure Vote: AI-powered Fingerprint Authentication for Next-Generation Online Voting." In 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA), pp. 993-1000. IEEE, 2023.

Admissions Apply Now