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A JPEG compressed image encryption method based on Shamir secret sharing scheme.

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Title: A JPEG compressed image encryption method based on Shamir secret sharing scheme.
Authors: Guan, Yulong1 (AUTHOR) guanyulong919@163.com, Wu, Zhen1 (AUTHOR) wuzhen35@163.com, Yang, Hui1 (AUTHOR) yanghui@jxust.edu.cn, Cheng, Hongyuan2 (AUTHOR) hycheng649@163.com
Source: Cluster Computing. Dec2025, Vol. 28 Issue 15, p1-21. 21p.
Subject Terms: *JPEG (Image coding standard), *Image encryption, *Huffman codes, *Cloud computing, *Data distribution, *Data privacy, *Computer security vulnerabilities
Abstract: With the rise of cloud computing and social networks, images, as a crucial representation of the multimedia big data era, hold significant value that cannot be overlooked. Among them, JPEG-format images play a vital role in global image transmission and storage. To address security vulnerabilities and internet threats, academia and industry have proposed various security protection schemes for JPEG images. Secret Image Sharing (SIS) is a key image protection technology with loss-tolerant characteristics, and due to its high security and ability to avoid excessive concentration of authority, it has become a research hotspot in the field of modern data sharing. Traditional JPEG encryption and compression methods rely on keys–once the key is lost, the content of the original image cannot be guaranteed. To solve this problem, this paper proposes a novel secret JPEG image sharing scheme. By introducing a Galois field-based Shamir secret sharing method during the Huffman coding step of JPEG compression, the scheme ensures standard JPEG compression while resolving the issue of image irrecoverability due to key loss. Furthermore, we have improved the original scheme, with the encrypted ciphertext images offering better visual security compared to the previous version. Experimental results demonstrate that our scheme fully complies with format requirements. [ABSTRACT FROM AUTHOR]
Database: Academic Search Index
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  – Url: https://dx.doi.org/doi:10.1007/s10586-025-05554-z
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DbLabel: Academic Search Index
An: 188547685
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PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 1393.09606933594
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  Label: Title
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  Data: A JPEG compressed image encryption method based on Shamir secret sharing scheme.
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  Data: <searchLink fieldCode="AR" term="%22Guan%2C+Yulong%22">Guan, Yulong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> guanyulong919@163.com</i><br /><searchLink fieldCode="AR" term="%22Wu%2C+Zhen%22">Wu, Zhen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wuzhen35@163.com</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Hui%22">Yang, Hui</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> yanghui@jxust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Cheng%2C+Hongyuan%22">Cheng, Hongyuan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> hycheng649@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Cluster+Computing%22">Cluster Computing</searchLink>. Dec2025, Vol. 28 Issue 15, p1-21. 21p.
– Name: Subject
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  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22JPEG+%28Image+coding+standard%29%22">JPEG (Image coding standard)</searchLink><br />*<searchLink fieldCode="DE" term="%22Image+encryption%22">Image encryption</searchLink><br />*<searchLink fieldCode="DE" term="%22Huffman+codes%22">Huffman codes</searchLink><br />*<searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink><br />*<searchLink fieldCode="DE" term="%22Data+distribution%22">Data distribution</searchLink><br />*<searchLink fieldCode="DE" term="%22Data+privacy%22">Data privacy</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+security+vulnerabilities%22">Computer security vulnerabilities</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: With the rise of cloud computing and social networks, images, as a crucial representation of the multimedia big data era, hold significant value that cannot be overlooked. Among them, JPEG-format images play a vital role in global image transmission and storage. To address security vulnerabilities and internet threats, academia and industry have proposed various security protection schemes for JPEG images. Secret Image Sharing (SIS) is a key image protection technology with loss-tolerant characteristics, and due to its high security and ability to avoid excessive concentration of authority, it has become a research hotspot in the field of modern data sharing. Traditional JPEG encryption and compression methods rely on keys–once the key is lost, the content of the original image cannot be guaranteed. To solve this problem, this paper proposes a novel secret JPEG image sharing scheme. By introducing a Galois field-based Shamir secret sharing method during the Huffman coding step of JPEG compression, the scheme ensures standard JPEG compression while resolving the issue of image irrecoverability due to key loss. Furthermore, we have improved the original scheme, with the encrypted ciphertext images offering better visual security compared to the previous version. Experimental results demonstrate that our scheme fully complies with format requirements. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asx&AN=188547685
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s10586-025-05554-z
    Languages:
      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 1
    Subjects:
      – SubjectFull: JPEG (Image coding standard)
        Type: general
      – SubjectFull: Image encryption
        Type: general
      – SubjectFull: Huffman codes
        Type: general
      – SubjectFull: Cloud computing
        Type: general
      – SubjectFull: Data distribution
        Type: general
      – SubjectFull: Data privacy
        Type: general
      – SubjectFull: Computer security vulnerabilities
        Type: general
    Titles:
      – TitleFull: A JPEG compressed image encryption method based on Shamir secret sharing scheme.
        Type: main
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          Name:
            NameFull: Guan, Yulong
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            NameFull: Wu, Zhen
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            NameFull: Yang, Hui
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            NameFull: Cheng, Hongyuan
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          Dates:
            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 13867857
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              Value: 28
            – Type: issue
              Value: 15
          Titles:
            – TitleFull: Cluster Computing
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