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Reversible Data Hiding in Homomorphic Encrypted Images Without Preprocessing

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Information Security Applications (WISA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11897))

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Abstract

Recently, reversible data hiding in encrypted images (RDH-EI) has been developed to transmit additional data. Besides extracting the hidden data, the original or processed image should be obtained when needed. In this paper, a new RDH-EI method for homomorphic encrypted images is proposed by utilizing the additive homomorphism and self-blinding property in Paillier cryptosystem. Specifically, part of the hidden data may be extracted before image decryption while the rest can be extracted after image decryption. In addition, no preprocessing is required so that homomorphic processing can be performed before data embedding. The experimental results on test images validate that the proposed method is compatible with homomorphic image processing before data embedding. Compared with the state-of-the-art methods, higher embedding capacity can be obtained with the proposed method while the original or processed image can be correctly generated.

The work was partially supported by Natural Science Foundation of China under Grants 61772208, 61672444 and 61632013, and the Fundamental Research Funds for the Central Universities of China, and the Initiation Grant for Faculty Niche Research Areas (IG-FNRA) of HKBU with Grant: RC-FNRA-IG/18-19/SCI/03.

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Notes

  1. 1.

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Authors and Affiliations

  1. School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, Guangdong, China

    Hao-Tian Wu, Zhenwei Zhuang & Shaohua Tang

  2. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China

    Yiu-ming Cheung

  3. Peng Cheng Laboratory, Shenzhen, 518055, Guangdong, China

    Shaohua Tang

Authors
  1. Hao-Tian Wu
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  2. Yiu-ming Cheung
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  3. Zhenwei Zhuang
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  4. Shaohua Tang
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Corresponding author

Correspondence to Hao-Tian Wu .

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Editors and Affiliations

  1. Soonchunhyang University, Asan, Korea (Republic of)

    Ilsun You

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Wu, HT., Cheung, Ym., Zhuang, Z., Tang, S. (2020). Reversible Data Hiding in Homomorphic Encrypted Images Without Preprocessing. In: You, I. (eds) Information Security Applications. WISA 2019. Lecture Notes in Computer Science(), vol 11897. Springer, Cham. https://doi.org/10.1007/978-3-030-39303-8_11

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  • DOI: https://doi.org/10.1007/978-3-030-39303-8_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39302-1

  • Online ISBN: 978-3-030-39303-8

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