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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM15627
Volume:
6 |
7 |
Jul 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
A secure electronic voting system integrating blockchain technology and face-based authentication is proposed to ensure transparency and data integrity in elections. Blockchain provides a secure and distributed ledger for storing votes, preventing unauthorized access, fraud, or result manipulation. To verify voter identity, a KNN classifier is utilized in the system to carry out facial recognition tasks, which accurately matches voters with their pre-registered biometric data and prevents impersonation or multiple voting attempts. This two-factor authentication system enhances the reliability of the voting process. This system is scalable, user- friendly, and suitable for large-scale elections, ultimately improving trust, security, and voter participation in modern democratic environments.
KEYWORDS
Publication Date
1/11/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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