Investigate the incorporation of biometric data (fingerprints, facial recognition, etc.) with RFID technology to provide multi-factor authentication, increasing the robustness of security protocols

Chanchad, Darshan Mukesh (2024) Investigate the incorporation of biometric data (fingerprints, facial recognition, etc.) with RFID technology to provide multi-factor authentication, increasing the robustness of security protocols. Masters thesis, Dublin, National College of Ireland.

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Abstract

The integration of biometric information with RFID era represents a innovative development in safety and authentication systems. As cyber threats preserve to evolve, conventional authentication strategies along with passwords and PINs are becoming increasingly inadequate in safeguarding touchy statistics. Multi-factor authentication (MFA) has emerged as a critical device in improving protection, and the combination of biometric records with RFID era gives a promising method to strengthening authentication mechanisms. This paper explores the blessings and challenges of integrating biometric records with RFID generation to create a strong multi-thing authentication system. It delves into the diverse types of biometric data, which includes fingerprints, facial recognition, iris scans, and voice reputation, and examines how these modalities may be combined with RFID technology to improve protection protocols. The paper also investigates real-international packages and case studies in which biometric-RFID integration has been efficiently carried out, demonstrating its capacity to revolutionize safety systems. The findings advise that integrating biometric information with RFID generation complements protection through imparting a dependable, scalable, and consumer-friendly authentication approach. This technique addresses modern protection challenges by means of decreasing the threat of unauthorized access and enhancing the overall robustness of security protocols. However, the paper also highlights the want to deal with capacity challenges which includes privateness concerns, technical interoperability, and implementation charges to make certain a success adoption of this generation.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Hafeez, Khadija UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Biometric Identification Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Ciara O'Brien
Date Deposited:	29 Jul 2025 11:18
Last Modified:	29 Jul 2025 11:18
URI:	https://norma.ncirl.ie/id/eprint/8300

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