Publication | Closed Access
Towards a Blockchain based Intelligent and Secure Voting
12
Citations
15
References
2021
Year
Unknown Venue
Blockchain Consensus ProtocolEngineeringMachine LearningInformation SecurityCloud ComputingVerificationData PrivacyBlockchain ProtocolSecure VotingMl AlgorithmsComputer ScienceBlockchain ScalabilitySafe OnlineFormal VerificationBlockchainMechanism DesignData SecurityCryptography
Blockchain and machine learning (ML) have emerged as two disruptive technologies that could transform various sectors. Blockchain is known as peer to peer decentralized, distributed ledger technology that enables to store and exchange anything of value, it is deterministic, permanent and immutable. On the other hand, ML is the ability of computers to learn without being programmed, and it is probabilistic. Hence, when blockchain and ML converge, they surely would benefit from each other. Blockchain can enhance security of ML platforms, and ML can provide automation and optimization to the blockchain solutions. In this work, we advocate the importance of enhancing blockchain with ML algorithms, as a proof of principle we address the issue of secure and intelligent e-voting.The use of blockchain technology has brought tremendous different application domains, e-voting is one of them. Most existing e-Voting systems require central authority during the process of authentication and verification of the voter. In this paper we propose a safe online voting approach based on blockchain and ML to provide a solution to this issue. We use blockchain to ensure integrity and transparency of the votes, and ML for automating the verification process of eligible voters based on AI-powered oracle platform for face authentication. The proposed solution offers automation, security, and mobility to the voting system.
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