Implementing the SCAN language by neural networks

Author

Brause, R.

Author_Institution

Frankfurt Univ., Germany

fYear

1996

fDate

4-5 Nov 1996

Firstpage

242

Lastpage

251

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligence and Systems, 1996., IEEE International Joint Symposia on

Conference_Location

Rockville, MD

Print_ISBN

0-8186-7728-7

Type

conf

DOI

10.1109/IJSIS.1996.565075

Filename

565075

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3321079