@inproceedings{13fd43528d9d47b8bfefbe55900311d2,
title = "Quantum Biometric Fingerprint Encryption Based on Confusion and Feistel Algorithm",
abstract = "Biometrics are intended to add an extra layer of security to various applications by authenticating a user based on a biometric sample taken from them. At the same time advantage, from the users' perspective, is that they are no longer required to use biometric memorizing credentials. Fingerprinting has been in use since the 19th century in determining identity. Because users' biometric templates are stored within any system, their security becomes extremely sensitive, as theft or simple copying of the biometric can compromise the identity of all users enrolled in the system. This paper presents a quantum-based biometric fingerprint encryption method. The method uses an adapted Novel Enhanced Quantum (NEQR) model to store biometric fingerprint in quantum systems and proposes quantum techniques of Confusion and Feistel algorithm to encryption it. The quantum encryption circuit was implemented and tested both in the IBM Quantum cloud and locally on the QASM quantum simulator.",
keywords = "biometrics, confusion, diffusion, fingerprints, quantum algorithm, security",
author = "Gabriela Mogos",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 9th International Conference on Platform Technology and Service, PlatCon 2023 ; Conference date: 16-08-2023 Through 18-08-2023",
year = "2023",
doi = "10.1109/PlatCon60102.2023.10255158",
language = "English",
series = "2023 International Conference on Platform Technology and Service, PlatCon 2023 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "53--57",
booktitle = "2023 International Conference on Platform Technology and Service, PlatCon 2023 - Proceedings",
}