Abstract

A secure method of counting and voting votes using electronic means, with the intent of improving the performance of voting systems, is known as electronic voting (electronic voting). Current electronic voting mechanisms face challenges such as confidentiality, integrity, verifiability, transparency, non-repudiation and trustworthiness. The e-voting system uses blockchain to ensure vote integrity and security, and machine learning models to detect intrusions into voting data center’s and e-voting stations. Both encryption and decryption ensure voter integrity and confidentiality to prevent counterfeiting and other forms of election fraud. Voter data is encrypted with the state elections office's elliptical public key. Public blockchains are used to maintain the integrity of voters' personal data by storing root hashes derived from the Merkle hash tree and revealing voting station results once the voting process is complete.

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