Enhanced Color Image Encryption Using Hybrid Chaotic Systems, Dynamic S-Box, and Compressed Sensing.
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| Title: | Enhanced Color Image Encryption Using Hybrid Chaotic Systems, Dynamic S-Box, and Compressed Sensing. |
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| Authors: | Yang, Zhi1 yang2526zhi@qq.com, Zhang, Zhao2 zhangzhao333@hotmail.com, Zhou, Hongyan3 zhou321yan@163.com, Chen, Xue-Bo1,4 xuebochen@126.com |
| Source: | Engineering Letters. Jun2026, Vol. 34 Issue 6, p2426-2436. 11p. |
| Subjects: | Image encryption, Compressed sensing, Chaos theory, Logistic maps (Mathematics), Lorenz equations |
| Abstract: | This paper introduces a novel image encryption algorithm that integrates the one-dimensional Logistic chaotic system, the three-dimensional Lorenz chaotic system, compressed sensing (CS), and a dynamic S-box. Initially, the Arnold transform is applied to scramble the pixel positions of the color image, thereby increasing its complexity. Subsequently, compressed sensing technology is utilized for the first-stage encryption, achieving simultaneous measurement and compression. A hybrid chaotic sequence, generated by combining the one-dimensional Logistic chaotic map and the threedimensional Lorenz chaotic system, is then used to construct a dynamic S-box, which performs secondary encryption on the image data. This approach not only enhances encryption security but also significantly reduces storage and transmission requirements. Experimental results show that the proposed method achieves a high entropy value of 7.9991 bits per pixel, a peak signal-to-noise ratio (PSNR) of up to 40.743 dB, and a structural similarity index (SSIM) close to 1, demonstrating its effectiveness in preserving image quality while providing robust encryption. This work presents a promising solution for securing image data in various applications, including those in the military and medical industries. [ABSTRACT FROM AUTHOR] |
| Copyright of Engineering Letters is the property of International Association of Engineers (IAENG) 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: 194195723 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Enhanced Color Image Encryption Using Hybrid Chaotic Systems, Dynamic S-Box, and Compressed Sensing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yang%2C+Zhi%22">Yang, Zhi</searchLink><relatesTo>1</relatesTo><i> yang2526zhi@qq.com</i><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Zhao%22">Zhang, Zhao</searchLink><relatesTo>2</relatesTo><i> zhangzhao333@hotmail.com</i><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Hongyan%22">Zhou, Hongyan</searchLink><relatesTo>3</relatesTo><i> zhou321yan@163.com</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Xue-Bo%22">Chen, Xue-Bo</searchLink><relatesTo>1,4</relatesTo><i> xuebochen@126.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Engineering+Letters%22">Engineering Letters</searchLink>. Jun2026, Vol. 34 Issue 6, p2426-2436. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Image+encryption%22">Image encryption</searchLink><br /><searchLink fieldCode="DE" term="%22Compressed+sensing%22">Compressed sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Chaos+theory%22">Chaos theory</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+maps+%28Mathematics%29%22">Logistic maps (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Lorenz+equations%22">Lorenz equations</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper introduces a novel image encryption algorithm that integrates the one-dimensional Logistic chaotic system, the three-dimensional Lorenz chaotic system, compressed sensing (CS), and a dynamic S-box. Initially, the Arnold transform is applied to scramble the pixel positions of the color image, thereby increasing its complexity. Subsequently, compressed sensing technology is utilized for the first-stage encryption, achieving simultaneous measurement and compression. A hybrid chaotic sequence, generated by combining the one-dimensional Logistic chaotic map and the threedimensional Lorenz chaotic system, is then used to construct a dynamic S-box, which performs secondary encryption on the image data. This approach not only enhances encryption security but also significantly reduces storage and transmission requirements. Experimental results show that the proposed method achieves a high entropy value of 7.9991 bits per pixel, a peak signal-to-noise ratio (PSNR) of up to 40.743 dB, and a structural similarity index (SSIM) close to 1, demonstrating its effectiveness in preserving image quality while providing robust encryption. This work presents a promising solution for securing image data in various applications, including those in the military and medical industries. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Engineering Letters is the property of International Association of Engineers (IAENG) 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: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 2426 Subjects: – SubjectFull: Image encryption Type: general – SubjectFull: Compressed sensing Type: general – SubjectFull: Chaos theory Type: general – SubjectFull: Logistic maps (Mathematics) Type: general – SubjectFull: Lorenz equations Type: general Titles: – TitleFull: Enhanced Color Image Encryption Using Hybrid Chaotic Systems, Dynamic S-Box, and Compressed Sensing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yang, Zhi – PersonEntity: Name: NameFull: Zhang, Zhao – PersonEntity: Name: NameFull: Zhou, Hongyan – PersonEntity: Name: NameFull: Chen, Xue-Bo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1816093X Numbering: – Type: volume Value: 34 – Type: issue Value: 6 Titles: – TitleFull: Engineering Letters Type: main |
| ResultId | 1 |
