skip to main content
10.1145/3655532.3655582acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicrsaConference Proceedingsconference-collections
research-article

Reversible Data Hiding in Encrypted Images Based on Block Selection and Bit-Plane Compression

Published: 28 June 2024 Publication History

Abstract

Abstract: Reversible data hiding in encrypted image enables the embedding of confidential information while preserving the privacy of the host image. Existing reversible data hiding in encrypted image algorithms suffer from low embedding rates and security vulnerabilities. Therefore, a novel reversible data hiding in encrypted image algorithm based on block selection and bit-plane compression is proposed. In the image encryption phase, the key is redesigned using integer wavelet transform and hash encryption. In the data embedding phase, the image is partitioned into blocks and labeled, and different design strategies are applied to different types of blocks to reserve space for data embedding. Simulation experiments demonstrate that the proposed method enhances the security of encrypted images and improves the embedding rate of the host image.

References

[1]
Jun Shen, Xin Liao, Zheng Qin, Xuchong Liu. 2021. Spatial steganalysis of low embedding rate based on convolutional network[J], Journal of Software,2021,32(9),2901-2915. http://www.jos.org.cn/1000-9825/5980.htm[
[2]
Journal of Image and Graphics. Frontier forum and excellent results sharing session of special issue on “digital image/video content security” [R].2022.
[3]
Yujie Fu, Ping Kong, Heng Yao, Zhenjun Tang, Chuan Qin. 2019. Effective reversible data hiding in encrypted image with adaptive encoding strategy.[J] Information Sciences,2019, 494,(): 21-36.
[4]
Jijun Wang, Guoxiang Li, Guoen Xia, Zerui Sun. 2020. A Separable and Reversible Data Hiding Algorithm in Encryption Domain Based on Image Interpolation Space[J], Acta Electronica Sinica, 2020,48(01):92-100.
[5]
Kede Ma, Weiming Zhang, Xianfeng Zhao, Nenghai Yu, Fenghua Li.2013. Reversible Data Hiding in Encrypted Images by Reserving Room Before Encryption[J], IEEE Transactions on Information Forensics and Security, 2013, 8(3): 553-562.
[6]
Pauline Puteaux, William Puech.2018. An Efficient MSB Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted Images.[J], IEEE Transactions on Information Forensics and Security, 2018, 13(7): 1670-1681.
[7]
Zhaoxia Yin, Xiaomeng Shen, Jin Tang, Bin Luo.2021. Reversible Data Hiding In Encrypted Images Based On Pixel Prediction And Multi-Msb Planes Rearrangement[J]. Signal Processing, 2021,187:108146.
[8]
Shuang Yi, Yicong Zhou.2019. Separable and Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree Labeling. [J], IEEE Transactions on Multimedia, 2019, 21(1): 51-64.
[9]
Youqing Wu, Youzhi Xiang, Yutang Guo, Jin Tang, Zhaoxia Yin.2020. An improved reversible data hiding in encrypted images using parametric binary tree labeling, IEEE Transactions on Multimedia 22 (8) (2020) 1929–1938.
[10]
Yaolin Yang, Hongjie He, Fan Chen, Changqi Yuan.2021. Reversible Data Hiding of Image Encryption Based on Prediction Error Adaptive Coding[J], Journal of Computer Research and Development, 2021,58(06): 1340-1350
[11]
Wenjing Ma, Youqing Wu, Zhaoxia Yin.2022. High-capacity Reversible Data Hiding in Encrypted lmages Using Adaptive Encoding [J]. Journal of Software,2022,33(12):4746-4757.
[12]
Zhaoxia Yin, Yinyin Peng, Youzhi Xiang.2022. Reversible Data Hiding in Encrypted Images based on Pixel Prediction and Bit-plane Compression[J], IEEE Transactions on Dependable and Secure Computing, 2022,19(2):992-1002.
[13]
YouQing Wu, Wenjing Ma, Zhaoxia Yin, Yinyin Peng, Xinpeng Zhang.2022. Reversible data hiding in encrypted image based on bit-plane compression of prediction error [J]. Journal on Communications,2022, 43(8):219-230.
[14]
Yaomin Wang, Zhanchuan Cai, Wenguang He.2021. High Capacity Reversible Data Hiding In Encrypted Image Based On Intra-Block Lossless Compression[J], Computer Science, 2021, 23: 1466-1473.
[15]
Zilong Liu, Chiman Pun.2022. Reversible Data Hiding in Encrypted Images using Chunk Encryption and Redundancy Matrix Representation[J], IEEE Transactions on Dependable and Secure Computing, 2022, 19(2): 1382-1394.
[16]
Xiangyu Zhang, Fengyong Li, Chuan Qin. Reversible lnformation Hiding Algorithm in Ciphertext Domain with Multiple Embedding Based on Block Classification[J],2023, Journal of Applied Sciences, 41(02):272-283.

Index Terms

  1. Reversible Data Hiding in Encrypted Images Based on Block Selection and Bit-Plane Compression

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    ICRSA '23: Proceedings of the 2023 6th International Conference on Robot Systems and Applications
    September 2023
    335 pages
    ISBN:9798400708039
    DOI:10.1145/3655532
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 28 June 2024

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Bit Plane Compression
    2. Block Selection
    3. Encrypted Images
    4. Key word: Reversible Data Hiding

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Funding Sources

    Conference

    ICRSA 2023

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 11
      Total Downloads
    • Downloads (Last 12 months)11
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 20 Feb 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format.

    HTML Format

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media