Image Encryption Using Quantum 3D Mobius Scrambling and 3D Hyper-Chaotic Henon Map.

3D hyper-chaotic Henon map quantum 3D Mobius scrambling quantum circuits quantum image encryption

Journal

Entropy (Basel, Switzerland)
ISSN: 1099-4300
Titre abrégé: Entropy (Basel)
Pays: Switzerland
ID NLM: 101243874

Informations de publication

Date de publication:
06 Dec 2023
Historique:
received: 25 10 2023
revised: 27 11 2023
accepted: 04 12 2023
medline: 23 12 2023
pubmed: 23 12 2023
entrez: 23 12 2023
Statut: epublish

Résumé

In encryption technology, image scrambling is a common processing operation. This paper proposes a quantum version of the 3D Mobius scrambling transform based on the QRCI model, which changes not only the position of pixels but also the gray values. The corresponding quantum circuits are devised. Furthermore, an encryption scheme combining the quantum 3D Mobius transform with the 3D hyper-chaotic Henon map is suggested to protect the security of image information. To facilitate subsequent processing, the RGB color image is first represented with QRCI. Then, to achieve the pixel-level permutation effect, the quantum 3D Mobius transform is applied to scramble bit-planes and pixel positions. Ultimately, to increase the diffusion effect, the scrambled image is XORed with a key image created by the 3D hyper-chaotic Henon map to produce the encrypted image. Numerical simulations and result analyses indicate that our designed encryption scheme is secure and reliable. It offers better performance in the aspect of key space, histogram variance, and correlation coefficient than some of the latest algorithms.

Identifiants

pubmed: 38136509
pii: e25121629
doi: 10.3390/e25121629
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Ling Wang (L)

School of Internet, Anhui University, Hefei 230039, China.

Qiwen Ran (Q)

National Key Laboratory of Tunable Laser Technology, Harbin Institute of Technology, Harbin 150001, China.

Junrong Ding (J)

National Key Laboratory of Tunable Laser Technology, Harbin Institute of Technology, Harbin 150001, China.

Classifications MeSH