AI-ENHANCED BLOCKCHAIN-BASED VOTING SYSTEM FOR SECURE, TRANSPARENT, AND FRAUD-RESISTANT ELECTIONS
The integrity, transparency, and security of electoral systems are significant issues that must be addressed in contemporary democracies where conventional electoral practices may be susceptible to electoral crime, manipulation, and mistrust. In recent years, blockchain technology has risen as a possible solution as it provides a decentralized and tamper-proof platform for recording votes. But the current blockchain voting systems have some drawbacks, especially regarding fraud detection and dealing with the intelligent threat. The paper delves into the potential of combining AI and blockchain to improve the trustworthiness and effectiveness of electronic voting. It explores various challenges, including voter identity verification, data security and privacy, scalability, and system adoption, and identifies opportunities such as automated fraud detection, real-time monitoring, smart contract-based vote-counting, and transparency. The study examines the existing solutions and identifies gaps, and suggests a conceptual framework for an AI-integrated blockchain voting system that will help secure, transparent and trustworthy elections. The research will offer useful insights for developers, researchers and policymakers in the quest for next generation electoral systems.
Jaiswal, V. (2026). AI-Enhanced Blockchain-Based Voting System for Secure, Transparent, And Fraud-Resistant Elections. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.152
Jaiswal, Vansh. "AI-Enhanced Blockchain-Based Voting System for Secure, Transparent, And Fraud-Resistant Elections." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.152.
Jaiswal, Vansh. "AI-Enhanced Blockchain-Based Voting System for Secure, Transparent, And Fraud-Resistant Elections." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.152.
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