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March 26, 2026· 2026 International Conference on Data Science, Agents and Artificial Intelligence (ICDSAAI)
conference-paper

Enhanced Blockchain-Enabled Voting Mechanisms: Guaranteeing Secure, Transparent, and Verifiable Elections Through Distributed Ledger Technology

Authors:Muruganantham AngamuthuMohammad KananM YasaswiniM. SilambaeasanG RamkumarBharathi Panduri

Abstract

Voting by paper casts doubt on democratic processes due to security flaws, fraud, opaqueness, and limited verifiability. People want voting methods that are trustworthy and that withstand the digital revolution. This piece takes a look at a more effective voting mechanism that uses blockchain technology. By using the immutability, cryptographic resilience, and decentralization of DLT, this technology generates secure and verifiable elections. The foundation of a contemporary end-to-end voting system is digital identity management, cryptography that preserves anonymity, and mechanisms for reaching a consensus. Secure voting records are safeguarded from tampering and fraud by means of the distributed ledger technology known as blockchain. With the help of smart contracts, human error and manipulation may be eliminated from the voting process by completely automating voter verification, ballot validation, and vote tallying. While keeping voters’ identities secure, homomorphic encryption and zero-knowledge proofs (ZKPs) confirm and monitor results. The security and efficiency of voter registration are enhanced by biometric identification verification and multi-factor authentication. Data collecting, voter verification, distributed validation, secure ballot casting, and open auditing of outcomes are all components of hierarchical design, as per the research. Hybrid blockchains combine public and permissioned ledgers to provide scalable and transparent election monitoring. Blockchain adoption is hindered by energy consumption, usability, and latency difficulties. These problems can be solved using efficient data structures and lightweight consensus algorithms.

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