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Image Encryption Using the Recursive Attributes of the eXclusive-OR Filter on Cellular Automata

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Cellular Automata (ACRI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7495))

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Abstract

A novel visual multimedia content encryption method based on cellular automata (CA) is presented in this paper. The proposed algorithm is based on an attribute of the eXclusive-OR (XOR) logic gate, according to which, its application to a square-sized CA has the ability to reconstruct the original content of a CA after a preset number of iterations. The resulted encrypted image is a lossless representation of the original/plaintext image, i.e. there is no loss of either resolution or contrast. Experimental results indicate that the encrypted image does not contain any statistical information able to reveal the original image.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece

    Savvas A. Chatzichristofis & Yiannis Boutalis

  2. Department of Computer & Electrical Engineering and Computer Science (CEECS), Florida Atlantic University (FAU), Boca Raton, Florida, USA

    Oge Marques

  3. Institute for Information Technology, Klagenfurt University, Klagenfurt, Austria

    Mathias Lux

Authors
  1. Savvas A. Chatzichristofis
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  2. Oge Marques
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  3. Mathias Lux
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  4. Yiannis Boutalis
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, Laboratory of Electronics, Democritus University of Thrace, GR 67100, Xanthi, Greece

    Georgios Ch. Sirakoulis

  2. CSAI - Complex Systems and Artificial Intelligence Research Center, University of Milano-Bicocca, 20134, Milano, Italy

    Stefania Bandini

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© 2012 Springer-Verlag Berlin Heidelberg

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Chatzichristofis, S.A., Marques, O., Lux, M., Boutalis, Y. (2012). Image Encryption Using the Recursive Attributes of the eXclusive-OR Filter on Cellular Automata. In: Sirakoulis, G.C., Bandini, S. (eds) Cellular Automata. ACRI 2012. Lecture Notes in Computer Science, vol 7495. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33350-7_35

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  • DOI: https://doi.org/10.1007/978-3-642-33350-7_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33349-1

  • Online ISBN: 978-3-642-33350-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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