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A robust medical image cryptosystem based on hyperbolic chaotic system and circular bit-shifting-flipping techniques.

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Title: A robust medical image cryptosystem based on hyperbolic chaotic system and circular bit-shifting-flipping techniques.
Authors: Rajendran, Sujarani1 (AUTHOR), Baskar, Chanthini2 (AUTHOR), Gugapriya G.1,2 (AUTHOR) gugapriya.g@vit.ac.in, Sridharan, Supriya3 (AUTHOR)
Source: Alexandria Engineering Journal. Jun2024, Vol. 97, p169-183. 15p.
Subjects: Image encryption, Diagnostic imaging, Uncertainty (Information theory), Digital technology, Image transmission, Medical imaging systems, Security systems, Statistics
Abstract: Due to the hasty growth of digital technology, securing medical images for transmission and storage is a significant issue. Information on the texture of medical images is essential for diagnosis. Hence, protecting these content has become a great challenge in the e-Healthcare system. So, we propose a novel dynamic circular bit shifting and bit-flipping process in the diffusion phase of the image cryptosystem to provide high level protection for the medical image. In the developed framework, at first, the hyperbolic chaotic map is executed for generating three hyper chaotic series and these chaotic series are utilized for encryption process. In encryption process, primarily the secret image is confused by utilizing any two chaotic series, then the confused image is divided into blocks and each block is diffused by executing the proposed dynamic circular bit shifting and bit-flipping process which greatly increases the probability and complexity level of the developed cryptosystem. Evaluation using different medical images represents that the proposed model has robustness, high efficiency, key sensitivity and also has the ability to withstand different attacks. This has been represented using the results of security measures and statistical analysis, such as Shannon entropy (7.997), CC (< 0), NPCR (99.63 %), UACI (37.14 %), SSIM (< 0), FSIM (< 0.5), PSNR (6.88). These results prove that the developed medical crypt can efficiently provide better security for medical images utilized in real time medical application like e-Healthcare and telemedicine. [ABSTRACT FROM AUTHOR]
Copyright of Alexandria Engineering Journal is the property of Elsevier B.V. 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
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  Data: A robust medical image cryptosystem based on hyperbolic chaotic system and circular bit-shifting-flipping techniques.
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  Data: Due to the hasty growth of digital technology, securing medical images for transmission and storage is a significant issue. Information on the texture of medical images is essential for diagnosis. Hence, protecting these content has become a great challenge in the e-Healthcare system. So, we propose a novel dynamic circular bit shifting and bit-flipping process in the diffusion phase of the image cryptosystem to provide high level protection for the medical image. In the developed framework, at first, the hyperbolic chaotic map is executed for generating three hyper chaotic series and these chaotic series are utilized for encryption process. In encryption process, primarily the secret image is confused by utilizing any two chaotic series, then the confused image is divided into blocks and each block is diffused by executing the proposed dynamic circular bit shifting and bit-flipping process which greatly increases the probability and complexity level of the developed cryptosystem. Evaluation using different medical images represents that the proposed model has robustness, high efficiency, key sensitivity and also has the ability to withstand different attacks. This has been represented using the results of security measures and statistical analysis, such as Shannon entropy (7.997), CC (&lt; 0), NPCR (99.63 %), UACI (37.14 %), SSIM (&lt; 0), FSIM (&lt; 0.5), PSNR (6.88). These results prove that the developed medical crypt can efficiently provide better security for medical images utilized in real time medical application like e-Healthcare and telemedicine. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Alexandria Engineering Journal is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder&#39;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.&lt;/i&gt; (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.aej.2024.04.001
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 15
        StartPage: 169
    Subjects:
      – SubjectFull: Image encryption
        Type: general
      – SubjectFull: Diagnostic imaging
        Type: general
      – SubjectFull: Uncertainty (Information theory)
        Type: general
      – SubjectFull: Digital technology
        Type: general
      – SubjectFull: Image transmission
        Type: general
      – SubjectFull: Medical imaging systems
        Type: general
      – SubjectFull: Security systems
        Type: general
      – SubjectFull: Statistics
        Type: general
    Titles:
      – TitleFull: A robust medical image cryptosystem based on hyperbolic chaotic system and circular bit-shifting-flipping techniques.
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            NameFull: Rajendran, Sujarani
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            NameFull: Baskar, Chanthini
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            NameFull: Gugapriya G.
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            – D: 15
              M: 06
              Text: Jun2024
              Type: published
              Y: 2024
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              Value: 97
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