journal article·2022Open access

A Framework for e-Voting System Based on Blockchain and Distributed Ledger Technologies

Shahid Hussain Danwar, Javed Ahmed Mahar, Aneela Kiran

Computers, Materials & Continua· Volume 72· Issue 1

Abstract

Election allows the voter of a country to select the most suitable group of candidates to run the government. Election in Pakistan is simply paper-based method but some certain political and socio-economic issues turn that simple process in complicated and disputes once. Solutions of such problems are consisting of many methods including the e-voting system. The e-voting system facilitates the voters to cast their votes by electronic means with very easy and convenient way. This also allows maintaining the security and secrecy of the voter along with election process. Electronic voting reduces the human-involvement throughout the process from start to the end. Such system is not established yet in Pakistan. Hence, every election is disputed always. In this paper we proposed the framework of an e-voting system and simulation with the use of blockchain ledger technology. The proposed framework owns the capacity to deal with ballots in Pakistan. The novelty of the framework is that the e-voting system is linked to National Database and Registration Authority (NADRA) database which assures voter's validation. The fundamental requirements were kept in consideration during the performance evaluation of the system. The results are processed and depicted specially with reference to the number of voters and voting stations, real time of vote casting, network bandwidth and controlling principles. The results support the decision makers and guide them in the foundation and customization of an e-voting system in Pakistan.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Internet Traffic Analysis and Secure E-voting · Blockchain Technology Applications and Security · Network Security and Intrusion Detection

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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