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Randomness of Shares Versus Quality of Secret Reconstruction in Black-and-White Visual Cryptography

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Artificial Intelligence and Soft Computing (ICAISC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11509))

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Abstract

Standard Naor-Shamir visual cryptography scheme is modified in a way that allows sampling from all possible 16 two-by-two tiles for generating shares. Such a procedure makes shares not only looking random but simply being random in the statistical sense. Of course there is a price to pay in the form of slightly deteriorated quality of the reconstructed secret. In this paper we try to find a reasonable compromise between the randomness of shares and the quality of the secret reconstruction.

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References

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Author information

Authors and Affiliations

  1. Department of Informatics, Warsaw University of Life Sciences – SGGW, ul. Nowoursynowska 159, 02-776, Warsaw, Poland

    Arkadiusz Orłowski & Leszek J. Chmielewski

Authors
  1. Arkadiusz Orłowski
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  2. Leszek J. Chmielewski
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Corresponding author

Correspondence to Leszek J. Chmielewski .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  3. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  4. University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  5. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  6. University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Orłowski, A., Chmielewski, L.J. (2019). Randomness of Shares Versus Quality of Secret Reconstruction in Black-and-White Visual Cryptography. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2019. Lecture Notes in Computer Science(), vol 11509. Springer, Cham. https://doi.org/10.1007/978-3-030-20915-5_6

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  • DOI: https://doi.org/10.1007/978-3-030-20915-5_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20914-8

  • Online ISBN: 978-3-030-20915-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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