使用云端混合区块链技术的电子投票系统

IF 3.7 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Beulah Jayakumari , S Lilly Sheeba , Maya Eapen , Jani Anbarasi , Vinayakumar Ravi , A. Suganya , Malathy Jawahar
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引用次数: 0

摘要

随着互联网设备、云技术和区块链技术的发明,在线投票系统可以顺利开展选举工作。在大流行病情况下,公民往往会对大规模集会产生恐慌,这可能会影响投票数量的减少。这就需要一个可靠、灵活、透明、安全且具有成本效益的投票系统。所提出的在线投票系统采用基于云的混合区块链技术,根除了现有投票系统存在的缺陷,该系统分三个阶段进行:登记阶段、投票阶段和计票阶段。在登记和投票阶段,基于时间戳的数字签名认证协议对选民和候选人进行验证。通过使用智能合约,消除了第三方干预,并确保了区块链网络中交易的安全性。最后,为了提供准确的投票结果,采用了实用拜占庭容错(PBFT)共识机制,以确保投票未被修改或破坏。因此,拟议系统的整体性能明显优于现有系统。进一步的性能分析基于认证延迟、投票更改、响应时间和延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
E-voting system using cloud-based hybrid blockchain technology

With the invention of Internet-enabled devices, cloud and blockchain-based technologies, an online voting system can smoothly carry out election processes. During pandemic situations, citizens tend to develop panic about mass gatherings, which may influence the decrease in the number of votes. This urges a reliable, flexible, transparent, secure, and cost-effective voting system. The proposed online voting system using cloud-based hybrid blockchain technology eradicates the flaws that persist in the existing voting system, and it is carried out in three phases: the registration phase, vote casting phase and vote counting phase. A timestamp-based authentication protocol with digital signature validates voters and candidates during the registration and vote casting phases. Using smart contracts, third-party interventions are eliminated, and the transactions are secured in the blockchain network. Finally, to provide accurate voting results, the practical Byzantine fault tolerance (PBFT) consensus mechanism is adopted to ensure that the vote has not been modified or corrupted. Hence, the overall performance of the proposed system is significantly better than that of the existing system. Further performance was analyzed based on authentication delay, vote alteration, response time, and latency.

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来源期刊
安全科学与韧性(英文)
安全科学与韧性(英文) Management Science and Operations Research, Safety, Risk, Reliability and Quality, Safety Research
CiteScore
8.70
自引率
0.00%
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0
审稿时长
72 days
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