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An Innovative Information Hiding Scheme Based on Block-Wise Pixel Reordering

Author

Listed:
  • Jui-Chuan Liu

    (Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan)

  • Heng-Xiao Chi

    (Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan)

  • Ching-Chun Chang

    (Information and Communication Security Research Center, Feng Chia University, Taichung 40724, Taiwan)

  • Chin-Chen Chang

    (Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan)

Abstract

Information has been uploaded and downloaded through the Internet, day in and day out, ever since we immersed ourselves in the Internet. Data security has become an area demanding high attention, and one of the most efficient techniques for protecting data is data hiding. In recent studies, it has been shown that the indices of a codebook can be reordered to hide secret bits. The hiding capacity of the codeword index reordering scheme increases when the size of the codebook increases. Since the codewords in the codebook are not modified, the visual performance of compressed images is retained. We propose a novel scheme making use of the fundamental principle of the codeword index reordering technique to hide secret data in encrypted images. By observing our experimental results, we can see that the obtained embedding capacity of 197,888 is larger than other state-of-the-art schemes. Secret data can be extracted when a receiver owns a data hiding key, and the image can be recovered when a receiver owns an encryption key.

Suggested Citation

  • Jui-Chuan Liu & Heng-Xiao Chi & Ching-Chun Chang & Chin-Chen Chang, 2024. "An Innovative Information Hiding Scheme Based on Block-Wise Pixel Reordering," Future Internet, MDPI, vol. 16(1), pages 1-20, January.
    • Handle: RePEc:gam:jftint:v:16:y:2024:i:1:p:34-:d:1323874
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    References listed on IDEAS

    as
    1. Urmila Pilania & Rohit Tanwar & Mazdak Zamani & Azizah Abdul Manaf, 2022. "Framework for Video Steganography Using Integer Wavelet Transform and JPEG Compression," Future Internet, MDPI, vol. 14(9), pages 1-16, August.
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