Title :
Neural network model with delay toward encryption
Author_Institution :
Lab. of Comput. Sci., Sony Corp., Tokyo, Japan
Abstract :
We propose a model of encryption of binary data taking advantage of the complexity of dynamics of a model motivated by a neural network with delays. In this scheme, the encryption process is a coupling dynamics with various time delays between different bits (or neurons) in the original data. A simple example is investigated to show that such a model may possess useful characteristics as an encryption scheme
Keywords :
cryptography; encoding; neural nets; binary data; coupling dynamics; delay neural network; encryption; time delays; Biological system modeling; Computer science; Couplings; Cryptography; Decoding; Delay effects; Electronic mail; Neural networks; Neurons; Public key;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.861505
