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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Associative Models for Encrypting Monochromatic Images
verfasst von : Elena Acevedo, Antonio Acevedo, Fabiola Martínez, Ángel Martínez
Erschienen in: Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
Verlag: Springer International Publishing
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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.