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Secure Key Exchange using Neural Network

Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.3, No. 3)

Publication Date:

Authors : ; ;

Page : 1707-1709

Keywords : Neural Network; Cryptography; Tree Parity Machine; Mutual Learning; Time dependent weights; Synchronizatio;

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Abstract

Any cryptographic system is used to exchange confidential information securely over the public channel without any leakage of information to the unauthorized users. Neural networks can be used to generate a common secret key because the processes involve in Cryptographic system requires large computational power and very complex. Moreover Diffi hellman key exchange is suffered from man-in ?the middle attack. For overcome this problem neural networks can be used.Two neural networks which are trained on their mutual output bits. The networks synchronize to a state with identical time dependent weights. .secret key exchange over a public channel and this key can be used in implementing any encryption algorithm.

Last modified: 2014-06-17 22:16:17