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A Cheat-Prevention Visual Secret Sharing Scheme with Minimum Pixel Expansion

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Digital-Forensics and Watermarking (IWDW 2013)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 8389))

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Abstract

A visual secret sharing (VSS) scheme with minimum pixel expansion is proposed to prevent malicious participants from deceiving an honest participant. A VSS scheme encrypts a secret image into pieces referred to as shares where each participant keeps a share so that stacking sufficient number of shares recovers the secret image. A cheat prevention VSS scheme provides another piece for each participant for verifying whether the shares presented by other participants are genuine. The proposed scheme improves the contrast of the recovered image and cheat-prevention functionality by introducing randomness in producing pieces for verification. Experimental results show the effectiveness of the proposed scheme.

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Authors and Affiliations

  1. The Graduate School of System Design, Tokyo Metropolitan University, Hino-shi, 191–0065, Japan

    Shenchuan Liu, Masaaki Fujiyoshi & Hitoshi Kiya

Authors
  1. Shenchuan Liu
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  2. Masaaki Fujiyoshi
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  3. Hitoshi Kiya
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Corresponding author

Correspondence to Shenchuan Liu .

Editor information

Editors and Affiliations

  1. New Jersey Institute of Technology, Newark, New Jersey, USA

    Yun Qing Shi

  2. CIST, Korea University, Seoul, Korea, Republic of (South Korea)

    Hyoung-Joong Kim

  3. EE Telecomunicacion, University of Vigo, Vigo, Spain

    Fernando Pérez-González

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Liu, S., Fujiyoshi, M., Kiya, H. (2014). A Cheat-Prevention Visual Secret Sharing Scheme with Minimum Pixel Expansion. In: Shi, Y., Kim, HJ., Pérez-González, F. (eds) Digital-Forensics and Watermarking. IWDW 2013. Lecture Notes in Computer Science(), vol 8389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43886-2_26

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  • DOI: https://doi.org/10.1007/978-3-662-43886-2_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-43885-5

  • Online ISBN: 978-3-662-43886-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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