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首页> 外文期刊>American Journal of Engineering Research >Enhancing E-Voting Systems By Leveraging Biometric Key Generation (Bkg)
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Enhancing E-Voting Systems By Leveraging Biometric Key Generation (Bkg)

机译:通过利用生物识别密钥生成(Bkg)增强电子投票系统

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The adoption of e-voting methods in electioneering processes will effectively reduce cost as well as enhance election activities. What makes an e-voting model reliable and acceptable is its ability to properly authenticate voters and provide a secure means through which a voter can express his/her franchise. This paper therefore proposes a design of an e-voting system that leverages a Biometric Encryption scheme known as Biometric key Generation (BKG) which is a secured strategy that entails using of biometrics to generate secure cryptographic keys. The main objective of this research is to improve on the already existing E-voting systems adopting a secured bio-cryptographic technique vis Biometric key Generation (BKG) as well as using a secure transmission channel for confidential datasets of a voting process. This work develops a simulation model of an E-voting system which adopts relevant algorithms with emphasis on biometric key generation schemes. The simulation of a prototype model of the electronic voting system is developed using Proteus 7.6 application software. The prototype model would consist of electronic kiosk polling booths that are all networked to the state electoral collection center and collection centers that are networked to the national electoral collection center via a VPN backbone. The proposed e-voting system uses a Virtual Private Network (VPN) as the means of communication between the various polling booths and collection points. The results of validation show that the proposed model facilitates the adoption of E-governance in the developing countries.
机译:在竞选过程中采用电子投票方法将有效降低成本并增强选举活动。使电子投票模型可靠和可以接受的原因是其能够正确验证选民身份并提供安全的手段,使选民可以表达其投票权。因此,本文提出了一种电子投票系统的设计,该系统利用了称为生物特征密钥生成(BKG)的生物特征加密方案,该方案是一种安全的策略,需要使用生物特征来生成安全的加密密钥。这项研究的主要目的是改进现有的电子投票系统,该系统采用针对生物特征密钥生成(BKG)的安全生物密码技术,并使用安全的传输通道来处理投票过程的机密数据集。这项工作开发了一种电子投票系统的仿真模型,该模型采用了相关算法,重点是生物特征密钥生成方案。使用Proteus 7.6应用软件开发了电子投票系统原型模型的仿真。原型模型将包括全部连接到州选举收集中心的电子信息亭投票站,以及通过VPN骨干网连接到国家选举收集中心的收集中心。拟议的电子投票系统使用虚拟专用网(VPN)作为各个投票站和收集点之间的通信方式。验证结果表明,所提出的模型有助于发展中国家采用电子政务。

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