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Secure Biometric Signal Processing; A Review

Chukumeka Gift Iroanwusi, Davies Isobo Nelson, Aniefiok Tom Bassey

Abstract

In recent year, biometric technologies have become an integral part of modern authentication systems, offering distinct advantages such as convenience, uniqueness, and resistance to credential theft. However, as these systems are increasingly deployed in critical applications ranging from border control and e-governance to mobile security and financial transactions the security and privacy of biometric signal processing have emerged as paramount concerns. This study discussed the critical challenges faced by biometric systems, focusing on recognition accuracy, scalability, and ethical implications related to surveillance and consent. The study examines advanced security techniques, including cancelable biometrics, steganography and watermarking, homomorphic encryption, highlighting their potential to enhance the security of biometric data. Additionally, the integration of multimodal biometrics is discussed as a strategy to improve resilience against emerging threats like sensor attacks and template inversion. The study emphasizes the necessity of adopting privacy-by-design principles to mitigate unauthorized access and data breaches, ensuring user control over biometric information. Further, the findings underscore the importance of developing robust defense mechanisms that adapt to evolving security threats while preserving user privacy. By synthesizing recent advancements in secure biometric signal processing, this paper provides a comprehensive framework for enhancing security, usability, and efficiency in future biometric applications.

Keywords

SteganographyWatermarkingCancelable BiometricsHomomorphic

References

Baldimstise, F., Kiayias, A., & Samari, K. (2017). Watermarking Public-Key cryptographic functionalities and implementations. https://www.eprint.iacr.org/2017/557.pdf. Barni, M. Droandi, G., & Lazzereti, R., (2015). Privacy Protection in Biometric-Based recognition system. A marriage between cryptography and signal processing. IEEE signal processing magazine. https://www.researchgate.net/publication Choudhunry, B., Patrick, T., Isaac, B. Roman, V., & Halder, M.K. (2018). A survey on biometric and cancelable biometric system. International journal of image and graphics. 18 (01).https://www.researchgate.net/publication/322680611 Christian Rathgeb, Frank Breitinger, Christoph Busch, Harald Baier. 2014. On Application of Bloom Filters to Iris Biometrics. IET Biometrics, 3(4). (2014) 207-218. DOI: http://dx.doi.org/10.1049/iet-bmt.2013.0049Dakic, M. (2023). What is voice recognition technology and it’s benefits. https://www.zesium.com/what-is-voice- recognition-and-its-benefits/ Ekong V.E (n.d.). Current trends in computing: Biometrics technologies (Lecture note). Department of computer science, University of Uyo. Faundez-Zanuy, M. (2022). Biometrics security technology. https://www.areiv.org. Hashim, M. M., Taha, M.S., Aman, A. H.M., Hashiam, A. H. A., Rahim, M. S. M., & Islam, S. (2019). Securing medical data transmission systems based on integrating algorithm of encryption and stegamography. In 2019 7th International Conference on Mechatronics Engineering (ILOM) (Pp 1-6). IEEE. https://www.researchgate.net/publication/341775133. Jain, R. & Kant, C. (2015). Attack on biometric systems: An overview. International journal of advances on scientific research 1 (7). https://www.researchgate.net/publication/322225967 Kamaldeep (2011). A review of various attacks on biometric system and their known solutions. International Journal of Computer Technology and Application, 2(6). Kour, J. & Verma, D. (2014). Steganogrpahy techniques. A review paper. International Journal of Emerging Research in Managements & Technology, 3(5). https://www.diwa/tnts/xzle.clondfront.net/61279125.. Meitei, T. G., Singh, S. A., & Majunder, S. (2018). Handbook of research on information security in biomedical signal processing. https://www.researchgate.net/publication/324517001 Prathusha, P., Lakshmi, K., haritha, K., divya, B. S., & Navya, B. V. (2022). An Efficient and Privacy-Preserving Biometrics Identification Scheme In Cloud Computing. Journal of Engineering Sciences 13(07). https://www.jespublication.com Bayer, F., & Rathgeb, C. (2025). AMB-FHE: Adaptive multi-biometric fusion with fully homomorphic encryption. arXiv. https://arxiv.org/abs/2503.23949 Rane, S., Wange, Y., Daper S.C., & Ishwar, P. (2013). Secure biometrics; concepts, authentication architectures and challenges. IEEE signal processing magazine 30 (5). https://www.ieeexplore.ieee.org/document/6582729 Rawat, M. & Kumar, N. (2020). Cancelable biometrics: A comprehensive survey artificial intelligence review 53 (1). https://www.researchgate.net/publication/322225967. Taha, M.S., Rahim, M.S.M; Zeebaree, D.Q, Hashim, M.M, Khadlid, H.N. (2020). Information hiding: A tools for securing biometric information. Technology report of Kansai university 62 (04):1383-1394. https://www.researchgate/publication/341775733. Vain, R. & Kant, C. (2015). Attacks on Biometric systems: an overview. International Journal of Advance in Scientific Research, 1(7): 283. https//www.researchgate.net/publication/322225967_Attacks_on_Biometric_Systems _An_Overview. Yu, M., Wang,Y., & Jiang, G. (2019). High dynamic range image watermarking based on tucker decomposition. IEEE Access. Pp(99). https://www.researchgate.net/publication/335200734. Office of the Victorian Information Commissioner. (2019). Biometrics and privacy: Issues and challenges. https://ovic.vic.gov.au/resource/biometrics-and-privacy-issues-and- challenges/ Jain, A. K., Nandakumar, K., & Ross, A. (2021). 50 years of biometric research: Accomplishments, challenges, and opportunities. Pattern Recognition Letters, 147, 80– https://doi.org/10.1016/j.patrec.2021.03.023 Maltoni, D., Maio, D., Jain, A. K., & Prabhakar, S. (2019). Handbook of fingerprint recognition (2nd ed.). Springer. https://doi.org/10.1007/978-1-4471-6874-9

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