Exploring Vulnerabilities Analyzing Malfunctions and Security Breaches in Electronic Voting Machines

International Journal of Emerging Research in Science, Engineering, and Management
Vol. 2, Issue 3, pp. 282-290, March 2026.

https://doi.org/10.58482/ijersem.v2i3.36

This work is licensed under a Creative Commons Attribution 4.0 International License.

Exploring Vulnerabilities Analyzing Malfunctions and Security Breaches in Electronic Voting Machines

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Sharad Kulkarni

Lavuluri Joshitha

Aluri Dheeraj Simha

Vemula Harini

Nelapalli Harsha Vardhan Reddy

Danduboena Ganesh

Department of ECE, Siddartha Institute of Science and Technology, Puttur, India.

Abstract: The paper presents a secure and automated voting mechanism using multi-factor authentication. The system integrates a Raspberry Pi controller with biometric, RFID, and facial recognition verification to ensure the authenticity of each voter. A fingerprint sensor, an RFID reader with cards, and a USB web camera are used for voter identification, while push buttons are employed for vote casting. Only when all three authentication checks are successful is the voting process permitted; otherwise, a GSM module sends alerts regarding unauthorized access or duplicate voting attempts. Additionally, the system is IoT-enabled—all authenticated voting data, alerts, and system logs are automatically uploaded to the ThingSpeak cloud platform, enabling real-time monitoring, secure data storage, and remote analysis. This comprehensive approach enhances security, prevents fraudulent activities, and provides a reliable framework for trustworthy election processes.

Keywords: Electronic Voting Machine, Multi-Factor Authentication, Raspberry Pi, Biometric and RFID Verification, IoT-Based Monitoring.

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This article is part of Volume 2, Issue 3 (March 2026)