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Cellular neural networks in secure transmission applications
被引：13
作者：
Caponetto, R
Lavorgna, M
Occhipinti, L
机构：
来源：
1996 FOURTH IEEE INTERNATIONAL WORKSHOP ON CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS, PROCEEDINGS (CNNA-96)
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1996年
关键词：
D O I：
10.1109/CNNA.1996.566609
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ;
0812 ;
0835 ;
1405 ;
摘要：
The work deals with a State Controlled Cellular Neural Network-based circuit for secure transmission applications. Basic principles of synchronisation between two (or more) chaotic systems are reported concerning the inverse system technique. Fundamentals of this kind of transmission are briefly introduced together with some experimental results. Finally, programmability of CNN circuits is exploited in order to increase the transmission security allowing the possibility to set-up several encryption/decryption key codes.
引用
收藏
页码：411 / 416
页数：6
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