Process Automation Architecture Using RFID for Transparent Voting Systems

TL;DR

This paper introduces an RFID-based process automation architecture for secure, transparent, and efficient voting systems, combining encrypted voter identification, secure vote casting, and tamper-proof audit mechanisms to enhance electoral integrity.

Contribution

It presents a novel RFID-enabled voting architecture with encrypted data transmission, tamper-proof monitoring, and offline-online synchronization, improving security and transparency in electoral processes.

Findings

100% voter authentication accuracy

Average voting time of 11.5 seconds

Robust against cloning, double voting, and data interception

Abstract

This paper presents the development of a process automation architecture leveraging Radio Frequency Identification (RFID) technology for secure, transparent and efficient voting systems. The proposed architecture automates the voting workflow through RFID-enabled voter identification, encrypted vote casting, and secure data transmission. Each eligible voter receives a smart RFID card containing a uniquely encrypted identifier, which is verified using an RC522 reader interfaced with a microcontroller. Upon successful verification, the voter interacts with a touchscreen interface to cast a vote, which is then encrypted using AES-128 and securely stored on a local SD card or transmitted via GSM to a central server. A tamper-proof monitoring mechanism records each session with time-stamped digital signatures, ensuring auditability and data integrity. The architecture is designed to function in both online and offline modes, with an automated batch synchronization mechanism that updates vote records once network connectivity is restored. System testing in simulated environments confirmed 100% voter authentication accuracy, minimized latency (average voting time of 11.5 seconds), and robustness against cloning, double voting, and data interception. The integration of real-time monitoring and secure process control modules enables electoral authorities to automate data logging, detect anomalies, and validate system integrity dynamically. This work demonstrates a scalable, automation-driven solution for voting infrastructure, offering enhanced transparency, resilience, and deployment flexibility, especially in environments where digital transformation of electoral processes is critically needed.