Scalability of Blockchain based E-voting system using Multiobjective Genetic Algorithm with Sharding

Abstract

The blockchain specifications distributed ledger, traceability, immutability provide a secure high-speed voting system. Data stored on the blockchain cannot be traced back, edit or deleted due to which transparent and high-performance capabilities are inherent to the network. But as the information of the e-voting system increases storage space and processing cost also increases due to an increase in delay. This delay increases as the comparison of hash value with the existing hash value for uniqueness. Apart from the uniqueness of hash designer also required initial 8 bytes of hash to be zeros. In this paper, we propose the multiobjective genetic algorithm-based creation of a side-chain to enhance the scalability and performance of the blockchain-based e-voting system. We compare the storage cost and the processing cost of the state of the art models with the proposed model. our experiments yielded observations on the scalability and the performance of the blockchain-based e-voting system.