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Research Scholar, Department of Computer Science and Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation – Deemed to Be University , Chennai , India
Professor, Department of Computer Science and Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Mission’s Research Foundation – Deemed to Be University , Chennai , India
This paper introduces a new E-voting system that uses the consensus algorithms to ensure secure, efficient, and transparent voting processes on the basis of blockchain. The suggested model combines a number of cryptographic methods and consensus algorithms to overcome the current issues related to the traditional voting systems, including slow processing speed, vote manipulation, security breach, and high computation costs. Particularly, the model uses Doubling mechanism, which is based on Elliptic Curve Cryptography (DM-ECC), to generate a key, Reformed Lamport Merkle Digital Signature (RLM-ds) to authenticate voters, Hidden structure Enhanced Attribute based Searchable Encryption (HS-EASE) to encrypt votes, and Enhanced Raft Consensus Algorithms (ERCA) to secure and fast transactions of votes. All these elements combine to provide integrity in the election process which is very secure, confidential, and transparent. In the suggested E-voting model, the voters will be registered with the DM-ECC algorithm in order to create secure public and private keys. They are identified using the RLM-DS signature creation. This is followed by encrypting the votes with the HS-EASE algorithm and recording them in the blockchain that is controlled by the ERCA in order to make sure that the transactions of the votes are tamper-proof and efficient. The final tallying of the results is ensured by the use of smart contracts which ensure integrity and transparency of the election outcome. Evaluation of the system is based on a few measures of performance such as voting computation time, vote size, verification computation time, result computation time, throughput and latency. The findings prove the high efficiency of the proposed system with voting calculation time of 15 ms, 40 ms, 70 ms, 85 ms, and 100 ms as there were 1, 5, 10, 15, and 20 participants respectively. Moreover, the system is superior to other systems currently in use with respect to the size of votes, time used in verifying votes and time taken to transact the votes, and thus can be a promising option in large scale elections. Statistical comparison of the suggested model reveals a substantial increase in the processing rate, security, and scalability in comparison with the conventional voting procedures and the current blockchain-based voting systems.
This is an open access article distributed under the Creative Commons Attribution Non-Commercial License (CC BY-NC) License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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