Quantum Fingerprint Scrambling Algorithm Based on Chaos Theory

Gabriela Mogos

doi:10.1109/EMES58375.2023.10171670

Quantum Fingerprint Scrambling Algorithm Based on Chaos Theory

Gabriela Mogos^*

^*Corresponding author for this work

Xi'an Jiaotong-Liverpool University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2023 17th International Conference on Engineering of Modern Electric Systems, EMES 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350310634
DOIs	https://doi.org/10.1109/EMES58375.2023.10171670
Publication status	Published - 2023
Externally published	Yes
Event	17th International Conference on Engineering of Modern Electric Systems, EMES 2023 - Oradea, Romania Duration: 9 Jun 2023 → 10 Jun 2023

Publication series

Name	2023 17th International Conference on Engineering of Modern Electric Systems, EMES 2023

Conference

Conference	17th International Conference on Engineering of Modern Electric Systems, EMES 2023
Country/Territory	Romania
City	Oradea
Period	9/06/23 → 10/06/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

IBM Quantum
protection
quantum image
scrambling

Access to Document

10.1109/EMES58375.2023.10171670

Cite this

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title = "Quantum Fingerprint Scrambling Algorithm Based on Chaos Theory",

abstract = "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.",

keywords = "IBM Quantum, protection, quantum image, scrambling",

author = "Gabriela Mogos",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 17th International Conference on Engineering of Modern Electric Systems, EMES 2023 ; Conference date: 09-06-2023 Through 10-06-2023",

year = "2023",

doi = "10.1109/EMES58375.2023.10171670",

language = "English",

series = "2023 17th International Conference on Engineering of Modern Electric Systems, EMES 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 17th International Conference on Engineering of Modern Electric Systems, EMES 2023",

}

Mogos, G 2023, Quantum Fingerprint Scrambling Algorithm Based on Chaos Theory. in 2023 17th International Conference on Engineering of Modern Electric Systems, EMES 2023. 2023 17th International Conference on Engineering of Modern Electric Systems, EMES 2023, Institute of Electrical and Electronics Engineers Inc., 17th International Conference on Engineering of Modern Electric Systems, EMES 2023, Oradea, Romania, 9/06/23. https://doi.org/10.1109/EMES58375.2023.10171670

Quantum Fingerprint Scrambling Algorithm Based on Chaos Theory. / Mogos, Gabriela.
2023 17th International Conference on Engineering of Modern Electric Systems, EMES 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 17th International Conference on Engineering of Modern Electric Systems, EMES 2023).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Quantum Fingerprint Scrambling Algorithm Based on Chaos Theory

AU - Mogos, Gabriela

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 - https://www.scopus.com/pages/publications/85166345918

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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 -

Quantum Fingerprint Scrambling Algorithm Based on Chaos Theory

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this