基于IoT和机器学习算法的网络和移动选举管理平台
Web and Mobile Platforms for Managing Elections based on IoT And Machine Learning Algorithms
摘要：
全球疫情严重影响了所有国家。因此，几乎所有国家都不得不适应在线技术，以继续其进程。此外，斯里兰卡每年在选举上花费100亿美元。我们研究了一种适当的方法，以尽量减少在网上举办这些活动的成本。为了解决现有的问题，提高时间效率和降低成本，我们使用了物联网和基于ML的技术。基于物联网的数据将被识别、注册并用于防止欺诈，而ML算法将操纵选举数据并生成获胜预测、基于天气的选民出席率和选举暴力。所有的数据将保存在云计算和一个标准的数据库来存储和访问数据。本文主要从四个方面对电子投票系统进行了研究。世界各地电子投票最常见的问题是系统的安全性，准确性和可靠性。电子政务系统必须防范各种网络攻击，并确保只有授权用户才能访问有价值的信息，有时甚至是敏感信息。能够在没有密码但使用生物特征信息的情况下访问系统已经有一段时间了，但是，我们提出的系统有一种不同的方法来获取凭证，处理和组合图像，重新格式化和生成输出以及跟踪。此外，我们确保加强电子投票的安全性。而基于ML的算法使用不同的数据集并提前提供预测。
英文摘要：
The global pandemic situation has severely affected all countries. As a result, almost all countries had to adjust to online technologies to continue their processes. In addition, Sri Lanka is yearly spending ten billion on elections. We have examined a proper way of minimizing the cost of hosting these events online. To solve the existing problems and increase the time potency and cost reduction we have used IoT and ML-based technologies. IoT-based data will identify, register, and be used to secure from fraud, while ML algorithms manipulate the election data and produce winning predictions, weather-based voters attendance, and election violence. All the data will be saved in cloud computing and a standard database to store and access the data. This study mainly focuses on four aspects of an E-voting system. The most frequent problems across the world in E-voting are the security, accuracy, and reliability of the systems. E-government systems must be secured against various cyber-attacks and ensure that only authorized users can access valuable, and sometimes sensitive information. Being able to access a system without passwords but using biometric details has been there for a while now, however, our proposed system has a different approach to taking the credentials, processing, and combining the images, reformatting and producing the output, and tracking. In addition, we ensure to enhance e-voting safety. While ML-based algorithms use different data sets and provide predictions in advance.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
