Implementing the SCAN language by neural networks

The real-time encryption of pictures is an important subject for many applications, e.g. television broadcast stations, network security, etc. The paper shows how the previously introduced SCAN encryption method can be easily implemented using binary neural network autoassociative memory.

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Bibliographic Details
Published inIEEE International Joint Symposia on Intelligence and Systems : proceedings, November 4-5, 1996, Rockville, Maryland pp. 242 - 251
Main Author Brause, R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1996
Subjects
Cryptography
Data structures
Iterative algorithms
Neural networks
Pixel
TV broadcasting
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Summary:The real-time encryption of pictures is an important subject for many applications, e.g. television broadcast stations, network security, etc. The paper shows how the previously introduced SCAN encryption method can be easily implemented using binary neural network autoassociative memory.
ISBN:0818677287
9780818677281
DOI:10.1109/IJSIS.1996.565075