AMultiple Diffusion Color Image Encryption Algorithm based on 6D Cellular Neural Networks.
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| Title: | AMultiple Diffusion Color Image Encryption Algorithm based on 6D Cellular Neural Networks. |
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| Authors: | Ziwei Zhou1, Wenxia Xu2, Xiangkun Chen2 xwx@guet.edu.cn, Guodong Li3 |
| Source: | Journal of Imaging Science & Technology. Jul/Aug2025, Vol. 69 Issue 4, p1-14. 14p. |
| Subjects: | Cellular neural networks (Computer science), Image encryption, Data encryption, Information technology security, Diffusion kinetics |
| Abstract: | To boost the security of color image encryption algorithms and enlarge their key space, an encryption algorithm of color image based on cellular neural networks (CNNs) is proposed. The sequence produced by the 6D CNN system is segmented into two groups and combined at a specific ratio. The new chaotic sequence obtained is used as the key source for a 4D hyperchaos system. The key is selected based on the logical operation results of the plaintext pixel mean, and the final chaotic encryption sequences X and Y are obtained. Pixel scrambling, diffusion on each layer of R, G, B, and pixel value replacement encryption operations are performed on color images, which are encrypted as ciphertext images. The results of the experimental simulation demonstrate that the image encryption algorithm outlined in this paper possesses significant key space, robust sensitivity to both keys and plaintext, uniform distribution of ciphertext pixels, and a correlation coefficient near 0 among neighboring pixels. It is capable of effectively thwarting exhaustive attacks, statistical analysis attacks, and differential attacks, and produces a notable encryption impact on color images. It possesses specific utility in the realm of color image information security. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Imaging Science & Technology is the property of International Society for Imaging Science & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 188510671 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: AMultiple Diffusion Color Image Encryption Algorithm based on 6D Cellular Neural Networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ziwei+Zhou%22">Ziwei Zhou</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wenxia+Xu%22">Wenxia Xu</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Xiangkun+Chen%22">Xiangkun Chen</searchLink><relatesTo>2</relatesTo><i> xwx@guet.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Guodong+Li%22">Guodong Li</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Imaging+Science+%26+Technology%22">Journal of Imaging Science & Technology</searchLink>. Jul/Aug2025, Vol. 69 Issue 4, p1-14. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cellular+neural+networks+%28Computer+science%29%22">Cellular neural networks (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Image+encryption%22">Image encryption</searchLink><br /><searchLink fieldCode="DE" term="%22Data+encryption%22">Data encryption</searchLink><br /><searchLink fieldCode="DE" term="%22Information+technology+security%22">Information technology security</searchLink><br /><searchLink fieldCode="DE" term="%22Diffusion+kinetics%22">Diffusion kinetics</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: To boost the security of color image encryption algorithms and enlarge their key space, an encryption algorithm of color image based on cellular neural networks (CNNs) is proposed. The sequence produced by the 6D CNN system is segmented into two groups and combined at a specific ratio. The new chaotic sequence obtained is used as the key source for a 4D hyperchaos system. The key is selected based on the logical operation results of the plaintext pixel mean, and the final chaotic encryption sequences X and Y are obtained. Pixel scrambling, diffusion on each layer of R, G, B, and pixel value replacement encryption operations are performed on color images, which are encrypted as ciphertext images. The results of the experimental simulation demonstrate that the image encryption algorithm outlined in this paper possesses significant key space, robust sensitivity to both keys and plaintext, uniform distribution of ciphertext pixels, and a correlation coefficient near 0 among neighboring pixels. It is capable of effectively thwarting exhaustive attacks, statistical analysis attacks, and differential attacks, and produces a notable encryption impact on color images. It possesses specific utility in the realm of color image information security. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Imaging Science & Technology is the property of International Society for Imaging Science & Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2352/J.ImagingSci.Technol.2025.69.4.040505 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1 Subjects: – SubjectFull: Cellular neural networks (Computer science) Type: general – SubjectFull: Image encryption Type: general – SubjectFull: Data encryption Type: general – SubjectFull: Information technology security Type: general – SubjectFull: Diffusion kinetics Type: general Titles: – TitleFull: AMultiple Diffusion Color Image Encryption Algorithm based on 6D Cellular Neural Networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ziwei Zhou – PersonEntity: Name: NameFull: Wenxia Xu – PersonEntity: Name: NameFull: Xiangkun Chen – PersonEntity: Name: NameFull: Guodong Li IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul/Aug2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10623701 Numbering: – Type: volume Value: 69 – Type: issue Value: 4 Titles: – TitleFull: Journal of Imaging Science & Technology Type: main |
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