View in EDS PDF Full Text

Color Image Encryption Based on Hyperchaotic System Combined with Compressive Sensing and Improved Chirikov Mapping.

Saved in:
Bibliographic Details
Title: Color Image Encryption Based on Hyperchaotic System Combined with Compressive Sensing and Improved Chirikov Mapping.
Authors: Ma, Li1 mali0614@qq.com, Zhang, Zhao2 zhangzhao333@hotmail.com, Zhou, Hongyan3 zhou321yan@163.com, Chen, Xue-Bo4 xuebochen@126.com
Source: Engineering Letters. Mar2026, Vol. 34 Issue 3, p946-956. 11p.
Subjects: Image encryption, Compressed sensing, Lorenz equations, Chaos theory
Abstract: To address the issues of large storage space occupation and high transmission costs during image transmission, this study proposes a color image encryption algorithm that integrates a hyperchaotic system, compressed sensing, and an improved Chirikov map. The algorithm improves security through a three-stage encryption process. First, dynamic parameters generated by the Lorenz hyperchaotic system are used to control the Arnold transform, scrambling the image, and significantly increasing the complexity of permutation. Second, a measurement matrix is generated with random values to achieve image encryption and compression via compressed sensing, ensuring security while reducing storage space requirements. Finally, an improved Chirikov standard map is employed for nonlinear diffusion encryption, achieving pixel-level confusion and diffusion through enhanced chaotic characteristics. Experimental results show that the information entropy is close to the ideal value of 8, the correlation coefficient is close to 0, and the pixel change rate and unified average changing intensity approach the ideal values of 99.6094% and 33.4635%, respectively. The proposed algorithm not only ensures image security but also exhibits stronger resistance to differential attacks and improved robustness. [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
Header DbId: egs
DbLabel: Engineering Source
An: 192025081
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Color Image Encryption Based on Hyperchaotic System Combined with Compressive Sensing and Improved Chirikov Mapping.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ma%2C+Li%22">Ma, Li</searchLink><relatesTo>1</relatesTo><i> mali0614@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>4</relatesTo><i> xuebochen@126.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Engineering+Letters%22">Engineering Letters</searchLink>. Mar2026, Vol. 34 Issue 3, p946-956. 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="%22Lorenz+equations%22">Lorenz equations</searchLink><br /><searchLink fieldCode="DE" term="%22Chaos+theory%22">Chaos theory</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: To address the issues of large storage space occupation and high transmission costs during image transmission, this study proposes a color image encryption algorithm that integrates a hyperchaotic system, compressed sensing, and an improved Chirikov map. The algorithm improves security through a three-stage encryption process. First, dynamic parameters generated by the Lorenz hyperchaotic system are used to control the Arnold transform, scrambling the image, and significantly increasing the complexity of permutation. Second, a measurement matrix is generated with random values to achieve image encryption and compression via compressed sensing, ensuring security while reducing storage space requirements. Finally, an improved Chirikov standard map is employed for nonlinear diffusion encryption, achieving pixel-level confusion and diffusion through enhanced chaotic characteristics. Experimental results show that the information entropy is close to the ideal value of 8, the correlation coefficient is close to 0, and the pixel change rate and unified average changing intensity approach the ideal values of 99.6094% and 33.4635%, respectively. The proposed algorithm not only ensures image security but also exhibits stronger resistance to differential attacks and improved robustness. [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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=192025081
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 946
    Subjects:
      – SubjectFull: Image encryption
        Type: general
      – SubjectFull: Compressed sensing
        Type: general
      – SubjectFull: Lorenz equations
        Type: general
      – SubjectFull: Chaos theory
        Type: general
    Titles:
      – TitleFull: Color Image Encryption Based on Hyperchaotic System Combined with Compressive Sensing and Improved Chirikov Mapping.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Ma, Li
      – PersonEntity:
          Name:
            NameFull: Zhang, Zhao
      – PersonEntity:
          Name:
            NameFull: Zhou, Hongyan
      – PersonEntity:
          Name:
            NameFull: Chen, Xue-Bo
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 1816093X
          Numbering:
            – Type: volume
              Value: 34
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Engineering Letters
              Type: main
ResultId 1