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Tampering Detection in Absolute Moment Block Truncation Coding (AMBTC) Compressed Code Using Matrix Coding.

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Názov: Tampering Detection in Absolute Moment Block Truncation Coding (AMBTC) Compressed Code Using Matrix Coding.
Autori: Lin, Yijie, Chang, Ching-Chun, Chang, Chin-Chen
Zdroj: Electronics (2079-9292); May2025, Vol. 14 Issue 9, p1831, 17p
Predmety: TWO-dimensional bar codes, BLOCK codes, IMAGE transmission, DATA integrity, ALGORITHMS, IMAGE compression
Abstrakt: With the increasing use of digital image compression technology, ensuring data integrity and security within the compression domain has become a crucial area of research. Absolute moment block truncation coding (AMBTC), an efficient lossy compression algorithm, is widely used for low-bitrate image storage and transmission. However, existing studies have primarily focused on tamper detection for AMBTC compressed images, often overlooking the integrity of the AMBTC compressed code itself. To address this gap, this paper introduces a novel anti-tampering scheme specifically designed for AMBTC compressed code. The proposed scheme utilizes shuffle pairing to establish a one-to-one relationship between image blocks. The hash value, calculated as verification data from the original data of each block, is then embedded into the bitmap of its corresponding block using the matrix coding algorithm. Additionally, a tampering localization mechanism is incorporated to enhance the security of the compressed code without introducing additional redundancy. The experimental results demonstrate that the proposed scheme effectively detects tampering with high accuracy, providing protection for AMBTC compressed code. [ABSTRACT FROM AUTHOR]
Copyright of Electronics (2079-9292) is the property of MDPI 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: Tampering Detection in Absolute Moment Block Truncation Coding (AMBTC) Compressed Code Using Matrix Coding.
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  Data: <searchLink fieldCode="AR" term="%22Lin%2C+Yijie%22">Lin, Yijie</searchLink><br /><searchLink fieldCode="AR" term="%22Chang%2C+Ching-Chun%22">Chang, Ching-Chun</searchLink><br /><searchLink fieldCode="AR" term="%22Chang%2C+Chin-Chen%22">Chang, Chin-Chen</searchLink>
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  Data: Electronics (2079-9292); May2025, Vol. 14 Issue 9, p1831, 17p
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  Data: <searchLink fieldCode="DE" term="%22TWO-dimensional+bar+codes%22">TWO-dimensional bar codes</searchLink><br /><searchLink fieldCode="DE" term="%22BLOCK+codes%22">BLOCK codes</searchLink><br /><searchLink fieldCode="DE" term="%22IMAGE+transmission%22">IMAGE transmission</searchLink><br /><searchLink fieldCode="DE" term="%22DATA+integrity%22">DATA integrity</searchLink><br /><searchLink fieldCode="DE" term="%22ALGORITHMS%22">ALGORITHMS</searchLink><br /><searchLink fieldCode="DE" term="%22IMAGE+compression%22">IMAGE compression</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: With the increasing use of digital image compression technology, ensuring data integrity and security within the compression domain has become a crucial area of research. Absolute moment block truncation coding (AMBTC), an efficient lossy compression algorithm, is widely used for low-bitrate image storage and transmission. However, existing studies have primarily focused on tamper detection for AMBTC compressed images, often overlooking the integrity of the AMBTC compressed code itself. To address this gap, this paper introduces a novel anti-tampering scheme specifically designed for AMBTC compressed code. The proposed scheme utilizes shuffle pairing to establish a one-to-one relationship between image blocks. The hash value, calculated as verification data from the original data of each block, is then embedded into the bitmap of its corresponding block using the matrix coding algorithm. Additionally, a tampering localization mechanism is incorporated to enhance the security of the compressed code without introducing additional redundancy. The experimental results demonstrate that the proposed scheme effectively detects tampering with high accuracy, providing protection for AMBTC compressed code. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Electronics (2079-9292) is the property of MDPI 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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    Identifiers:
      – Type: doi
        Value: 10.3390/electronics14091831
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 1831
    Subjects:
      – SubjectFull: TWO-dimensional bar codes
        Type: general
      – SubjectFull: BLOCK codes
        Type: general
      – SubjectFull: IMAGE transmission
        Type: general
      – SubjectFull: DATA integrity
        Type: general
      – SubjectFull: ALGORITHMS
        Type: general
      – SubjectFull: IMAGE compression
        Type: general
    Titles:
      – TitleFull: Tampering Detection in Absolute Moment Block Truncation Coding (AMBTC) Compressed Code Using Matrix Coding.
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            NameFull: Lin, Yijie
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            NameFull: Chang, Ching-Chun
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            NameFull: Chang, Chin-Chen
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            – D: 01
              M: 05
              Text: May2025
              Type: published
              Y: 2025
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              Value: 14
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              Value: 9
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            – TitleFull: Electronics (2079-9292)
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