Identity Verification Processes With Voice Biometrics and Artificial Intelligence

Yıl 2024, Cilt: 8 Sayı: 1, 1 - 4, 31.07.2024

Zeynep Örpek , Büşra Tural , Samet Özmen

Öz

Biometrics refers to the measurable physical and behavioral characteristics of every living creature. These characteristics represent the unique biological characteristics of individuals. The identities of living things can be determined by analyzing various types of biological data such as fingerprints, faces, eyes, voices, and vascular patterns. Identification from biometric features is used in almost every field today. Voice biometrics performs identity verification by analyzing individuals' speech patterns. Today, voice identification is used as an alternative or verification step in many areas. However, with the spread, the protection of personal data and fraud has gained great importance. In particular, ensuring the confidentiality and security of biometric data is of critical importance for the healthy management of personal data and creating a secure environment. In this context, there are laws and standards determined by the regulatory and supervisory boards of the states. With the development of artificial intelligence technology in recent years, a new threat has emerged regarding the forgery of biometric data. Artificial intelligence algorithms could make it possible to forge biometric data, which could lead to increased fraud. Therefore, the development and implementation of security solutions for the security of biometric data has become an important necessity. In this article, studies on biometric features, especially voice biometrics, and their use with artificial intelligence technology will be discussed.

Anahtar Kelimeler

Biometrics, Voice Biometrics, Identity Verification Process, Artificial Intelligence, Voice Recognition

Proje Numarası

AICCONF24 - Submission ID: 110 - Identity Verification Processes With Voice Biometrics and Artificial Intelligence

Kaynakça

• [1] A. I. B. A. B. E. &. S. K. Awad, “AI-powered biometrics for Internet of Things security: A review and future vision. Journal of Information Security and Applications,” pp. 103748,82, 2024.
• [2] A. Goode, “Biometrics for banking: best practices and barriers to adoption. Biometric Technology Today,” pp. 5-7, 2018(10).
• [3] S. &. K. M. Dargan, “A comprehensive survey on the biometric recognition systems based on physiological and behavioral modalities. Expert Systems with Applications,” pp. 143, 113114., 2020.
• [4] N. A. A. &. K. R. A. Singh, “Voice biometric: A technology for voice based authentication. Advanced Science, Engineering and Medicine,” pp. 10(7-8), 754-759, 2018.
• [5] M. &. P. Z. Glowacki, “Architecture of the integrated system for voice identity distribution. In 2012 19th International Conference on Microwaves, Radar & Wireless Communications,” IEEE, vol. Vol. 2, pp. 542-545, 2012, May.
• [6] S. Panda, “Intelligent Voice-Based Authentication System. Proceedings of Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC),” IEEE, Palladam, pp. 757-760, 12-14 December 2019.
• [7] M. L. C. &. D. C. M. Fairhurst, “Predictive biometrics: a review and analysis of predicting personal characteristics from biometric data,” IET Biometrics,, vol. 6(6), pp. 369-378, 2017.
• [8] Z. &. A. E. Can, “A review of recent machine learning approaches for voice authentication systems, Journal of Information and Communication Technologies,” pp. 5(1), 95-113, 2023.
• [9] B. D. S. S. F. N. E. C. P. X. P. I. S. .. &. G. A. A. Kaur, “ Internet of things (IoT) security dataset evolution: Challenges and future directions. Internet of Things,” p. 100780, 2023.
• [10] R. T. Y. W. N. H. F. M. G. A.-G. M. A. &. A. I. Jahangir, “Speaker identification through artificial intelligence techniques: A comprehensive review and research challenges. Expert Systems with Applications,” pp. 171, 114591, 2021.
• [11] N. N. T. N. Q. &. L. Y. An, “Deep CNNs with self-attention for speaker identification,” IEEE , pp. 7, 85327-85337., 2019.
• [12] D. R. Chandran, “Use of AI voice authentication technology instead of traditional keypads in security devices. Journal of Computer and Communications,” pp. 10(6), 11-21, 2022.
• [13] S. S. M. J. N. K. &. R. A. S. S. S. Balaji, “AI Based Voice Recognition,” EasyChair, p. No. 12796), 2024.
• [14] A. K. N. K. &. R. A. Jain, “ 50 years of biometric research: Accomplishments, challenges, and opportunities. Pattern recognition letters,” pp. 79, 80-105, 2016.
• [15] [Online]. Available: https://www.kvkk.gov.tr/ .
• [16] [Online]. Available: https://gdpr-info.eu/.