Secure and Scalable Blockchain Voting: A Comparative Framework and the Role of Large Language Models

Fuente: arXiv
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Main Authors: Kiashemshaki, Kiana, Chukwuani, Elvis Nnaemeka, Torkamani, Mohammad Jalili, Mahmoudi, Negin
Format: Preprint
Published: 2025
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author Kiashemshaki, Kiana
Chukwuani, Elvis Nnaemeka
Torkamani, Mohammad Jalili
Mahmoudi, Negin
author_facet Kiashemshaki, Kiana
Chukwuani, Elvis Nnaemeka
Torkamani, Mohammad Jalili
Mahmoudi, Negin
contents Blockchain technology offers a promising foundation for modernizing E-Voting systems by enhancing transparency, decentralization, and security. Yet, real-world adoption remains limited due to persistent challenges such as scalability constraints, high computational demands, and complex privacy requirements. This paper presents a comparative framework for analyzing blockchain-based E-Voting architectures, consensus mechanisms, and cryptographic protocols. We examine the limitations of prevalent models like Proof of Work, Proof of Stake, and Delegated Proof of Stake, and propose optimization strategies that include hybrid consensus, lightweight cryptography, and decentralized identity management. Additionally, we explore the novel role of Large Language Models (LLMs) in smart contract generation, anomaly detection, and user interaction. Our findings offer a foundation for designing secure, scalable, and intelligent blockchain-based E-Voting systems suitable for national-scale deployment. This work lays the groundwork for building an end-to-end blockchain E-Voting prototype enhanced by LLM-guided smart contract generation and validation, supported by a systematic framework and simulation-based analysis.
format Preprint
id arxiv_https___arxiv_org_abs_2508_05865
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Secure and Scalable Blockchain Voting: A Comparative Framework and the Role of Large Language Models
Kiashemshaki, Kiana
Chukwuani, Elvis Nnaemeka
Torkamani, Mohammad Jalili
Mahmoudi, Negin
Cryptography and Security
Software Engineering
C.2; D.2; D.4.1; D.4.4; D.4.6; I.2.7
Blockchain technology offers a promising foundation for modernizing E-Voting systems by enhancing transparency, decentralization, and security. Yet, real-world adoption remains limited due to persistent challenges such as scalability constraints, high computational demands, and complex privacy requirements. This paper presents a comparative framework for analyzing blockchain-based E-Voting architectures, consensus mechanisms, and cryptographic protocols. We examine the limitations of prevalent models like Proof of Work, Proof of Stake, and Delegated Proof of Stake, and propose optimization strategies that include hybrid consensus, lightweight cryptography, and decentralized identity management. Additionally, we explore the novel role of Large Language Models (LLMs) in smart contract generation, anomaly detection, and user interaction. Our findings offer a foundation for designing secure, scalable, and intelligent blockchain-based E-Voting systems suitable for national-scale deployment. This work lays the groundwork for building an end-to-end blockchain E-Voting prototype enhanced by LLM-guided smart contract generation and validation, supported by a systematic framework and simulation-based analysis.
title Secure and Scalable Blockchain Voting: A Comparative Framework and the Role of Large Language Models
topic Cryptography and Security
Software Engineering
C.2; D.2; D.4.1; D.4.4; D.4.6; I.2.7
url https://arxiv.org/abs/2508.05865