Radio Frequency Identification (RFID) Based Voting System Using Internet of Thing

This project focuses on the development of a secured Radio Frequency Identification (RFID)-based electronic voting application using Flutter, Firebase and Arduino. The application aims to enhance the voting process by integrating RFID technology for user authentication, ensuring a secure and seamless experience for voters. The system employs RFID cards to authenticate users, allowing only authorized individuals to vote, with Firebase enforcing a single-vote policy to prevent electoral fraud. Most important features include real-time voting data updates, robust encryption protocols for safeguarding user interface designed for accessibility. The methodology encompasses hardware integration with RFID readers, microcontrollers, and software development leveraging Flutter for the client-side and Firebase for backend services. Extensive testing and security measures were carried out to ensure data integrity, privacy, and system reliability. This innovation addressed critical challenges in electronic voting, such as voter impersonation, multiple voting, and cybersecurity threats, contributing to the modernization of electoral processes while maintaining transparency and trust in democratic systems. By leveraging RFID for user authentication, the system ensures that only eligible voters can access the platform, maintaining the integrity and transparency of the voting process. Additionally, the application enhances user experience through a streamlined interface designed with Flutter, providing simplicity and accessibility for diverse users. The incorporation of Firebase as a backend ensures real-time data handling, robust authentication, and prevention of multiple votes.

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Publication Details

Journal
Automation Control and Intelligent Systems
Published
2025-03-11
DOI
https://doi.org/10.11648/j.acis.20251301.12
Citations
2
Primary Topic
Internet Traffic Analysis and Secure E-voting
Type
article
Field-Weighted Citation Impact
4.96
Controls
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article

Radio Frequency Identification (RFID) Based Voting System Using Internet of Thing

Moradeke Grace Adewumi
2 citations
Automation Control and Intelligent Systems
Internet Traffic Analysis and Secure E-voting
4.96
article

Radio Frequency Identification (RFID) Based Voting System Using Internet of Thing

Moradeke Grace Adewumi
article en
2 citations

Abstract

This project focuses on the development of a secured Radio Frequency Identification (RFID)-based electronic voting application using Flutter, Firebase and Arduino. The application aims to enhance the voting process by integrating RFID technology for user authentication, ensuring a secure and seamless experience for voters. The system employs RFID cards to authenticate users, allowing only authorized individuals to vote, with Firebase enforcing a single-vote policy to prevent electoral fraud. Most important features include real-time voting data updates, robust encryption protocols for safeguarding user interface designed for accessibility. The methodology encompasses hardware integration with RFID readers, microcontrollers, and software development leveraging Flutter for the client-side and Firebase for backend services. Extensive testing and security measures were carried out to ensure data integrity, privacy, and system reliability. This innovation addressed critical challenges in electronic voting, such as voter impersonation, multiple voting, and cybersecurity threats, contributing to the modernization of electoral processes while maintaining transparency and trust in democratic systems. By leveraging RFID for user authentication, the system ensures that only eligible voters can access the platform, maintaining the integrity and transparency of the voting process. Additionally, the application enhances user experience through a streamlined interface designed with Flutter, providing simplicity and accessibility for diverse users. The incorporation of Firebase as a backend ensures real-time data handling, robust authentication, and prevention of multiple votes.

Automation Control and Intelligent SystemsVol. 13(1)
University of Lay Adventists of Kigali (RW)
Openalex Percentile: Top 6%
Internet Traffic Analysis and Secure E-voting
4.96
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Radio Frequency Identification (RFID) Based Voting System Using Internet of Thing — Moradeke Grace Adewumi · Automation Control and Intelligent Systems (2025) | TGRS Research Map | TGRS