E-Voting System Using Machine Learning, Blockchain, and Cryptography

Author(s)	Mitali Jain, Sanskruti Raut, Sheetal Ghadge
Country	India
Abstract	Voting is a central component of a country’s political life cycle. Privacy, authentication and integrity of citizens’ votes and their data are considered to be essential to any e voting program. In order to resolve these concerns, we propose a stable e-voting system based on the principles of blockchain, machine learning and cryptography. We use blockchain for immutable vote recording, machine learning model to detect intrusion in voting data centers and e-voting stations, and cryptography for secure voter authentication and data protection. The proposed a blockchain-based e-voting system designed exclusively for physically disabled citizens who are unable to visit polling stations. The system facilitates secure, transparent, and tamper-proof voting by allowing Election Commission (EC) officials to conduct supervised voting at the voter's home using a blockchain-integrated mobile voting device. The system ensures vote integrity, voter privacy, and auditability while addressing accessibility concerns for this marginalized demographic.
Keywords	Blockchain, Electronic Voting System, Cryptography, Machine Learning
Field	Computer Applications
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-06-23
DOI	https://doi.org/10.71097/IJSAT.v16.i2.6512
Short DOI	https://doi.org/g9q4b4

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International Journal on Science and Technology