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Holographic encryption algorithm based on DNA coding and bit-plane decomposition.

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Title: Holographic encryption algorithm based on DNA coding and bit-plane decomposition.
Authors: Liang, Zheng1 (AUTHOR), Chen, Li1,2 (AUTHOR) ggchenli@gdut.edu.cn, Chen, Kai1 (AUTHOR), Liang, Zhenhui1 (AUTHOR), Wen, Kunhua1 (AUTHOR), Zhu, Jiawei3 (AUTHOR), Hu, Yihua1 (AUTHOR)
Source: Multimedia Tools & Applications. Dec2024, Vol. 83 Issue 40, p87385-87413. 29p.
Subjects: Physical optics, Artificial intelligence, Image processing, Holography, Algorithms, Image encryption
Abstract: In recent years, encryption algorithms have undergone rapid development, finding extensive applications across diverse industries. In the pursuit of enhancing the security of image encryption methodologies, this paper introduces a novel computational holographic encryption approach grounded in DNA coding and bit-plane decomposition. The encryption framework employs a Logistic-Sine chaotic mapping system characterized by a substantial key space to control encryption particulars. The plaintext image undergoes encryption through the input–output algorithm of computational holography. This algorithm shifts information from the spatial domain, represented by the greyscale map, to the frequency domain, concealing the distribution of pixel values. The incorporation of DNA coding and bit-plane transformations serves to intensify the chaos within the ciphertext image, thereby maximizing the efficacy of the encryption process. By integrating principles from biology and physical optics into encryption methodologies, this approach amalgamates diverse scientific domains. Simulation results and data analyses substantiate that the proposed encryption algorithm adeptly withstands various attacks, attesting to its security and reliability. [ABSTRACT FROM AUTHOR]
Copyright of Multimedia Tools & Applications is the property of Springer Nature 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.)
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  Data: Holographic encryption algorithm based on DNA coding and bit-plane decomposition.
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  Data: <searchLink fieldCode="AR" term="%22Liang%2C+Zheng%22">Liang, Zheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Li%22">Chen, Li</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> ggchenli@gdut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Chen%2C+Kai%22">Chen, Kai</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liang%2C+Zhenhui%22">Liang, Zhenhui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wen%2C+Kunhua%22">Wen, Kunhua</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhu%2C+Jiawei%22">Zhu, Jiawei</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Yihua%22">Hu, Yihua</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Dec2024, Vol. 83 Issue 40, p87385-87413. 29p.
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  Data: <searchLink fieldCode="DE" term="%22Physical+optics%22">Physical optics</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Holography%22">Holography</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Image+encryption%22">Image encryption</searchLink>
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  Data: In recent years, encryption algorithms have undergone rapid development, finding extensive applications across diverse industries. In the pursuit of enhancing the security of image encryption methodologies, this paper introduces a novel computational holographic encryption approach grounded in DNA coding and bit-plane decomposition. The encryption framework employs a Logistic-Sine chaotic mapping system characterized by a substantial key space to control encryption particulars. The plaintext image undergoes encryption through the input–output algorithm of computational holography. This algorithm shifts information from the spatial domain, represented by the greyscale map, to the frequency domain, concealing the distribution of pixel values. The incorporation of DNA coding and bit-plane transformations serves to intensify the chaos within the ciphertext image, thereby maximizing the efficacy of the encryption process. By integrating principles from biology and physical optics into encryption methodologies, this approach amalgamates diverse scientific domains. Simulation results and data analyses substantiate that the proposed encryption algorithm adeptly withstands various attacks, attesting to its security and reliability. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature 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:
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        Value: 10.1007/s11042-024-18838-0
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        Text: English
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        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Image processing
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      – SubjectFull: Holography
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      – SubjectFull: Algorithms
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      – SubjectFull: Image encryption
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      – TitleFull: Holographic encryption algorithm based on DNA coding and bit-plane decomposition.
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              M: 12
              Text: Dec2024
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