互联网中电子投票系统置信度建模仿真

摘要

对互联网中电子投票系统置信度进行建模,可提高互联网中电子投票系统可靠性和置信度.将电子投票系统中的盲因子与ECC结合,建立电子投票模型,是进行电子投票系统置信度建模中最重要的环节,但是传统方法依据阈值方案机制,当合法投票者放弃投票时,非合法投票者进行投票仅有很小的成功性的原理对置信度进行建模,但不能建立精确的电子投票模型,降低了电子投票系统置信度建模精度.提出一种采用椭圆曲线加密机制(ECC)的互联网中电子投票系统置信度建模方法,首先将盲签名模型中盲因子与ECC相融合,使得优化模型具有加密长消息快速安全的特性,利用椭圆曲线的点构建有限群实现离散对数签名方案,形成基于ECC盲签名电子投票模型,最终组成具有安全性、加解密效率快,能够保证投票数据真实完整的电子投票系统置信度模型.仿真结果表明,改进的建模方法能够有效保障电子投票的安全性和高效性,可以提高互联网中电子投票系统可靠性和置信度.%It can improve the reliability and confidence coefficient of electronic voting system to build model in the Internet.The most important link of confidence coefficient modeling is the combination between blinding factor and ECC to build electronic voting system model.However,traditional method builds the model according to the threshold scheme mechanism.The illegal voter has small success when legal voter abstains from voting.But it cannot build the precise electronic voting system and reduces the precision of confidence coefficient modeling.This paper proposes a confidence coefficient modeling method of electronic voting system in the Internet based on the ellipse curve cryptography (ECC).Firstly the blinding factor is integrated with ECC in blind signature model.It makes the optimization model have the characteristic of speediness and safety when encrypting long message.Then the finite group is built to achieve discrete logarithm signature scheme by using the point of elliptic curve and the electronic voting system of blind signature is formed based on ECC.Finally the confidence coefficient model with safety,high encryption and decryption efficiency is built,and the reality and integrity of voting data is ensured.The simulation results show that the modified modeling method can ensure the safety and high efficiency of electronic voting system and improve the reliability and confidence coefficient.