Title :
Implementing the SCAN language by neural networks
Author_Institution :
Frankfurt Univ., Germany
Abstract :
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
Keywords :
associative processing; content-addressable storage; cryptography; neural nets; real-time systems; television broadcasting; video coding; SCAN language; TV broadcasting; autoassociative memory; binary neural network; encoding; image encryption; real-time system; Cryptography; Data structures; Iterative algorithms; Neural networks; Pixel; TV broadcasting;
Conference_Titel :
Intelligence and Systems, 1996., IEEE International Joint Symposia on
Conference_Location :
Rockville, MD
Print_ISBN :
0-8186-7728-7
DOI :
10.1109/IJSIS.1996.565075
