TY - GEN
T1 - Quantum Fingerprint Scrambling Algorithm Based on Chaos Theory
AU - Mogos, Gabriela
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The challenges brought about by the development of information technologies bring with them vulnerabilities and threats that are difficult to manage, especially as information technologies are globally interconnected, increasing the opportunity for cybercrime. Nowadays, sending images over the internet is routine. Protecting digital data is important to preserve its confidentiality and integrity. To be transmitted securely, images must be encrypted. Unencrypted, images are not protected and can easily be copied and forged. This paper proposes a quantum scrambling algorithm for biometric fingerprints. Therefore, starting from an adapted Novel Enhanced Quantum (NEQR) model the fingerprint was stored in quantum systems. All quantum algorithms were implemented and tested in IBM Quantum as well as on a local quantum simulator QASM.
AB - The challenges brought about by the development of information technologies bring with them vulnerabilities and threats that are difficult to manage, especially as information technologies are globally interconnected, increasing the opportunity for cybercrime. Nowadays, sending images over the internet is routine. Protecting digital data is important to preserve its confidentiality and integrity. To be transmitted securely, images must be encrypted. Unencrypted, images are not protected and can easily be copied and forged. This paper proposes a quantum scrambling algorithm for biometric fingerprints. Therefore, starting from an adapted Novel Enhanced Quantum (NEQR) model the fingerprint was stored in quantum systems. All quantum algorithms were implemented and tested in IBM Quantum as well as on a local quantum simulator QASM.
KW - IBM Quantum
KW - protection
KW - quantum image
KW - scrambling
UR - http://www.scopus.com/inward/record.url?scp=85166345918&partnerID=8YFLogxK
U2 - 10.1109/EMES58375.2023.10171670
DO - 10.1109/EMES58375.2023.10171670
M3 - Conference Proceeding
AN - SCOPUS:85166345918
T3 - 2023 17th International Conference on Engineering of Modern Electric Systems, EMES 2023
BT - 2023 17th International Conference on Engineering of Modern Electric Systems, EMES 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International Conference on Engineering of Modern Electric Systems, EMES 2023
Y2 - 9 June 2023 through 10 June 2023
ER -
