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Part of the book series: Studies in Computational Intelligence ((SCI,volume 492))

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Abstract

This work describes a novel method for encrypting monochromatic images using an associative approach. The image is divided in blocks which are used to build max and min Alpha-Beta associative memories. The key is private and it depends on the number of blocks. The main advantage of this method is that the encrypted image does not have the same size than the original image; therefore, since the beginning the adversary cannot know what the image means.

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Correspondence to Elena Acevedo .

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© 2013 Springer International Publishing Switzerland

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Acevedo, E., Acevedo, A., Martínez, F., Martínez, Á. (2013). Associative Models for Encrypting Monochromatic Images. In: Lee, R. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. Studies in Computational Intelligence, vol 492. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00738-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-00738-0_9

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-00737-3

  • Online ISBN: 978-3-319-00738-0

  • eBook Packages: EngineeringEngineering (R0)

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