International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

AI-driven Biometric Authentication: Security and Vulnerabilities

Karthik KamarapuIndependent Researcher, Osmania University, Hyderabad, IndiaKali Rama Krishna VuchaIndependent Researcher, Acharya Nagarjuna University, India

Vol 9 No 3 (2025): Volume 9, Issue 3, March 2025 | Pages: 110-116

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 15-03-2025

doi Logo doi.org/10.47001/IRJIET/2025.903014

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Abstract

Artificial intelligence (AI) has revolutionized biometric authentication by significantly improving identification accuracy and operational efficiency. Contemporary systems integrate machine learning and deep learning methods to enhance traditional biometric methods such as fingerprint, face, iris, and voice recognition. Despite these advancements, the increased complexity of AI-driven technology introduces critical security concerns. Malicious actors can exploit vulnerabilities inherent to data collection, model training, and system deployment, giving rise to adversarial attacks, data poisoning, and privacy breaches. This paper examines these challenges, drawing on existing literature to identify gaps and propose more secure and robust solutions. The overarching goal is to ensure that AI-driven biometric systems retain their heightened performance while effectively countering emergent threats.

Keywords

Artificial Intelligence, Authentication, Security, Biometrics


Citation of this Article

Karthik Kamarapu, & Kali Rama Krishna Vucha. (2025). AI-driven Biometric Authentication: Security and Vulnerabilities. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(3), 110-116. Article DOI https://doi.org/10.47001/IRJIET/2025.903014

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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