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International Workshop on Digital Watermarking

IWDW 2019: Digital Forensics and Watermarking pp 407–420Cite as

Multi-attack Reference Hashing Generation for Image Authentication

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 12022))

Abstract

Perceptual hashing for image authentication has been intensively investigated owing to the speed and memory efficiency. How to determine the reference hashing code, which is used for similarity measures between the distorted hashes and reference hashes, is important but less considered for image hashing design. In this paper, we present a Multi-Attack Reference Hashing (MRH) method based on hashing cluster for image authentication, which is expected to use prior information, i.e. the supervised content-preserving images and multiple attacks for feature generation and final reference hashing code generation. Extensive experiments on benchmark datasets have validated the effectiveness of our proposed method.

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Acknowledgments

This work was supported by National Natural Science Foundation of China (Grant No. 61602344, 61602341, 61902280), Science & Technology Development Fund of Tianjin Education Commission for Higher Education, China (Grant No. 2017KJ091) and Natural Science Foundation of Tianjin (Grant No. 17JCQNJC00600, 19JCYBJC15600).

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Authors and Affiliations

  1. School of Computer Science and Technology, Tianjin Polytechnic University, Tianjin, 300387, China

    Ling Du & Yijing Wang

  2. Department of Computer Science, University of Surrey, Guildford, Surrey, GU2 7XH, UK

    Anthony T. S. Ho

  3. Tianjin University of Science and Technology, Tianjin, 300457, China

    Anthony T. S. Ho

  4. Wuhan University of Technology, Wuhan, 430070, China

    Anthony T. S. Ho

Authors
  1. Ling Du
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  2. Yijing Wang
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  3. Anthony T. S. Ho
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Corresponding author

Correspondence to Ling Du .

Editor information

Editors and Affiliations

  1. College of Cybersecurity, Sichuan University, Chengdu, China

    Hongxia Wang

  2. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

    Xianfeng Zhao

  3. Department of ECE, New Jersey Institute of Technology, Newark, NJ, USA

    Yunqing Shi

  4. Graduate School of Information Study, Korea University, Seoul, Korea (Republic of)

    Hyoung Joong Kim

  5. Department of Information Engineering, University of Florence, Florence, Italy

    Alessandro Piva

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Du, L., Wang, Y., Ho, A.T.S. (2020). Multi-attack Reference Hashing Generation for Image Authentication. In: Wang, H., Zhao, X., Shi, Y., Kim, H., Piva, A. (eds) Digital Forensics and Watermarking. IWDW 2019. Lecture Notes in Computer Science(), vol 12022. Springer, Cham. https://doi.org/10.1007/978-3-030-43575-2_33

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  • DOI: https://doi.org/10.1007/978-3-030-43575-2_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-43574-5

  • Online ISBN: 978-3-030-43575-2

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