The number of mobile phone users increases daily, and mobile devices are used for various applications like banking, e-commerce, social media, internet voting, e-mails, etc. This paper presents a secure mobile internet voting system in which a biometric method authenticates the voter. The biometric image can either be encrypted at the mobile device and send to the server or process the biometric image at the mobile device to generate the biometric template and send it to the server. The implementation of biometrics on mobile devices usually requires simplifying the algorithm to adapt to the relatively small CPU processing power and battery charge. This paper proposes a wavelet-based AES algorithm to speed up the encryption process and reduce the mobile device’s CPU utilization. The experimental analysis of three methods(AES encryption, wavelet-based AES encryption, and biometric template generation) exhibits that wavelet-based AES encryption is much better than AES encryption and template generation. The security analysis of three methods shows that AES and wavelet-based AES encryption provides better security than the biometric template’s protection. The study of the proposed internet voting system shows that biometric authentication defeats almost all the mobile-based threats.

手机用户数量每天都在增加，移动设备被用于银行、电子商务、社交媒体、互联网投票、电子邮件等各种应用。本文提出了一种安全的移动互联网投票系统，其中采用生物识别方法验证选民。生物特征图像可以在移动设备上加密并发送到服务器，或者在移动设备处处理生物特征图像以生成生物特征模板并将其发送到服务器。在移动设备上实施生物识别通常需要简化算法以适应相对较小的 CPU 处理能力和电池电量。本文提出了一种基于小波的 AES 算法来加快加密过程并降低移动设备的 CPU 使用率。三种方法的实验分析（AES加密，基于小波的 AES 加密和生物特征模板生成）表明，基于小波的 AES 加密比 AES 加密和模板生成要好得多。三种方法的安全性分析表明，AES 和基于小波的 AES 加密提供了比生物特征模板保护更好的安全性。对提议的互联网投票系统的研究表明，生物特征认证可以击败几乎所有基于移动设备的威胁。