Публікація:
Analysis of Information Protection Based on Quantum Image Steganography

dc.contributor.authorFediushyn, O. I.
dc.contributor.authorHolovko, Y. V.
dc.date.accessioned2025-10-31T22:07:06Z
dc.date.available2025-10-31T22:07:06Z
dc.date.issued2025
dc.description.abstractThis paper analyzes the principal models of quantum image representation – Qubit Lattice, FRQI, Real Ket, and NEQR and identifies their advantages and drawbacks in the context of data-hiding algorithm implementation. A novel approach is proposed to enhance the efficiency of steganographic systems based on quantum image processing. Special attention is devoted to steganographic algorithms employing the Least Significant Bit (LSB) technique in both simple and block-based forms, as well as their robustness, capacity, and imperceptibility. It has been established that quantum implementations of such algorithms increase the level of confidentiality and reduce the probability of hiddenmessage detection.
dc.identifier.citationFediushyn O. I. Analysis of Information Protection Based on Quantum Image Steganography / O. I. Fediushyn, Y. V. Holovko // Computer and information systems and technologies : Eighth International Scientific and Technical Conference, October 09-10, 2025. – Kharkiv : NURE, 2025. - P. 110-111.
dc.identifier.issn2710-463X
dc.identifier.urihttps://openarchive.nure.ua/handle/document/33012
dc.language.isoen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectQuantum steganography
dc.subjectquantum images
dc.subjectquantum cryptography
dc.subjectinformation protection
dc.titleAnalysis of Information Protection Based on Quantum Image Steganography
dc.typeThesis
dspace.entity.typePublication

Файли

Оригінальний пакет
Зараз показано 1 - 1 з 1
Завантаження...
Зображення мініатюри
Назва:
Fediushyn_OI_Holovko_YV_2025.pdf
Розмір:
380.31 KB
Формат:
Adobe Portable Document Format
Ліцензійний пакет
Зараз показано 1 - 1 з 1
Немає доступних мініатюр
Назва:
license.txt
Розмір:
10.74 KB
Формат:
Item-specific license agreed upon to submission
Опис: