@inproceedings{2a8a1814f7cd44bf982960559f8179df,
title = "Quantum Biometric Fingerprint Encryption based on Twofish Algorithm",
abstract = "The use of large-scale biometric fingerprint systems in both commercial and governmental systems has increased the interest and acceptance of users worldwide. Unfortunately, someone can copy and use fingerprints to assume another identity. Fingerprint encryption is the first and most effective way to keep it confidential. This paper presents a quantum-based method to encrypt fingerprints using the Twofish algorithm. The quantum representation used to store fingerprints is an adapted version of the Novel Enhanced Quantum (NEQR) model. The quantum circuits have been implemented and tested both on the IBMQ quantum computer and locally, on the QASM quantum simulator.",
keywords = "IBMQ, QASM, quantum circuits, Twofish algorithm",
author = "Gabriela Mogos",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 20th International SoC Design Conference, ISOCC 2023 ; Conference date: 25-10-2023 Through 28-10-2023",
year = "2023",
doi = "10.1109/ISOCC59558.2023.10395936",
language = "English",
series = "Proceedings - International SoC Design Conference 2023, ISOCC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "187--188",
booktitle = "Proceedings - International SoC Design Conference 2023, ISOCC 2023",
}