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Review Papers | Computer Science and Information Technology | United States of America | Volume 13 Issue 9, September 2024 | Popularity: 5.3 / 10
Biometric Authentication: A Double-Edged Sword for Security?
Merlin Balamurugan
Abstract: Biometric authentication verifies identity-based on unique biological traits or behavioral characteristics, such as fingerprints, facial recognition, or voice patterns. Instead of relying on something you know (like a password) or something you have (like a security token), biometrics depend on intrinsic personal traits, making them difficult to replicate or steal. This approach offers several advantages, including enhanced security due to the uniqueness of biometric data and greater convenience, as users do not need to remember passwords or carry additional devices. Despite these benefits, biometric authentication also faces notable disadvantages. Privacy concerns are paramount, as biometric data is susceptible and, once compromised, cannot be changed like passwords. The accuracy of biometric systems can be influenced by changes in physical appearance or environmental conditions, potentially leading to recognition errors. Additionally, biometric systems are susceptible to spoofing attacks, where counterfeit biometric data may deceive the system. As biometric technology evolves, it is increasingly integrated into various applications, improving its accuracy and usability. However, adopting biometric authentication necessitates a balanced approach that addresses ethical, legal, and technical challenges. Ensuring robust data protection and privacy while leveraging the advantages of biometrics is crucial for maintaining security and trust in identity verification systems. This paper provides a comprehensive overview of biometric authentication, highlighting its technological evolution, diverse applications, and the complex issues it raises. It emphasizes the need for a balanced approach while addressing the ethical, legal, and technical challenges associated with the growing use of biometrics in identity verification.
Keywords: Biometric authentication, Banking security, Identity verification, Fraud Prevention, Artificial Intelligence, Banking user experience
Edition: Volume 13 Issue 9, September 2024
Pages: 170 - 173
DOI: https://www.doi.org/10.21275/SR24901230354
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