Master data

Title: JPEG Image Encryption with DC Rotation and Undivided RSV-based AC Group Permutation
Subtitle:
Abstract:

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.

Keywords: JPEG image encryption, DC coefficient rotation, undivided RSV, block features, AC group permutation
Publication type: Article in journal (Authorship)
Publication date: 23.11.2023 (Online)
Published by: IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
to publication
 ( IEEE; )
Title of the series: -
Volume number: -
Issue: -
First publication: Yes
Version: -
Page: pp. 1 - 15

Versionen

Keine Version vorhanden
Publication date: 2023
ISBN: -
ISSN: 1520-9210
Homepage: https://ieeexplore.ieee.org/document/10328466
Publication date: 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
  • Available online (not open access)

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Austria
   martina.steinbacher@aau.at
http://itec.aau.at/
To organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 1020 - Computer Sciences
Research Cluster No research Research Cluster selected
Citation index
  • Science Citation Index Expanded (SCI Expanded)
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: I)
Classification raster of the assigned organisational units:
working groups
  • Multimedia Systeme

Cooperations

Organisation Address
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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