@inproceedings{006cb85a73cf4a6cadf17bd7fd2c1820,
title = "Associative models for encrypting monochromatic images",
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.",
keywords = "Artificial Intelligence, Associative approach, Encryption, Monochromatic images",
author = "Elena Acevedo and Antonio Acevedo and Fabiola Mart{\'i}nez and {\'A}ngel Mart{\'i}nez",
year = "2013",
doi = "10.1007/978-3-319-00738-0_9",
language = "Ingl{\'e}s",
isbn = "9783319007373",
series = "Studies in Computational Intelligence",
publisher = "Springer Verlag",
pages = "117--128",
booktitle = "Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing",
address = "Alemania",
}