Abstract:
This study explored the integration of blockchain and artificial intelligence
technologies to enhance the security framework of electronic voting
(e-voting) systems. Amid increasing vulnerabilities and cyber threats to
electoral integrity, these technologies provided robust solutions by ensuring
the immutability of voting records and enabling real-time anomaly detection.
Blockchain technology secured votes in a decentralized, tamper-proof
ledger, preventing unauthorized modifications, and enhancing transparency.
Concurrently, artificial intelligence leveraged predictive analytics to
dynamically monitor and respond to potential security threats, thereby
ensuring the reliability and integrity of the voting process. This paper
presented a dual-technology approach where blockchain’s transparency
complemented artificial intelligence’s (AI) threat detection capabilities,
providing a comprehensive security solution for e-voting systems. Through
theoretical models and empirical data, we demonstrated significant
improvements in transaction throughput, threat detection accuracy, and
system scalability. The findings suggested that the strategic application of
these technologies could substantially mitigate current e-voting
vulnerabilities, offering a pathway to more secure, transparent, and efficient
electoral processes globally.
