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Titel: JPEG Image Encryption with DC Rotation and Undivided RSV-based AC Group Permutation
Untertitel:
Kurzfassung:

Existing JPEG encryption approaches pose a security risk due to the difficulty in changing all block-feature values while considering format compatibility and file size expansion. To address these concerns, this paper introduces a novel JPEG image encryption scheme. First, the security of sketch information against chosen-plaintext attacks is improved by increasing the change rate of block-feature values. Second, a classification global permutation approach is designed to encrypt the undivided run/size, value (RSV)-based AC groups to achieve larger changes in the block-feature values. Third, to reduce file size expansion while maintaining format compatibility, the DC coefficients are rotated based on the mapped DC differences in the same category, and the nonzero AC coefficients are mapped in the same category. Extensive experiments demonstrate that the proposed algorithm is superior to existing schemes in terms of security. Notably, the average change rate of block-feature values is increased by at least 20%. Furthermore, the proposed scheme reduces the file size by an average of 2.036% compared to existing JPEG image encryption methods.

Schlagworte: JPEG image encryption, DC coefficient rotation, undivided RSV, block features, AC group permutation
Publikationstyp: Beitrag in Zeitschrift (Autorenschaft)
Erscheinungsdatum: 23.11.2023 (Online)
Erschienen in: IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
zur Publikation
 ( IEEE; )
Titel der Serie: -
Bandnummer: -
Heftnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 1 - 15

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Erscheinungsdatum: 2023
ISBN: -
ISSN: 1520-9210
Homepage: https://ieeexplore.ieee.org/document/10328466
Erscheinungsdatum: 23.11.2023
ISBN (e-book): -
eISSN: 1941-0077
DOI: http://dx.doi.org/10.1109/tmm.2023.3336236
Homepage: https://ieeexplore.ieee.org/document/10328466
Open Access
  • Online verfügbar (nicht Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Österreich
   martina.steinbacher@aau.at
http://itec.aau.at/
zur Organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 1020 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Zitationsindex
  • Science Citation Index Expanded (SCI Expanded)
Informationen zum Zitationsindex: Master Journal List
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: I)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Multimedia Systeme

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Organisation Adresse
Southwest Jiaotong University
111 2nd Ring Rd North Section 1
610032 Jinniu District, Chengdu, Sichuan
China
111 2nd Ring Rd North Section 1
CN - 610032  Jinniu District, Chengdu, Sichuan

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