Key Exchange Protocol Using Synchronization In Neural Network | ||
| Iraqi Journal of Information Technology | ||
| Article 1, Volume 6, Issue 1, January 2014, Pages 44-56 | ||
| Author | ||
| Burhan Mollan Salih | ||
| Abstract | ||
| Key exchange is an important role today`s digital world for the propose of security and privacy we need to key exchange between sender side and receiver side secure. A new phenomenon, namely synchronization of neural network is leading to new method of key exchange. by using hebbian learning rule and add some strategy for it to balance of weights. This method used to secure the way of key exchange protocol over public channel. Because of this effect neural synchronization can be used to construct a cryptographic key-exchange protocol. Here the partners benefit from mutual interaction, so that a passive attacker is usually unable to learn the generated key in time. Therefore the partners can reach any desired level of security by choosing suitable parameters. In addition, The learning process of neural network has been accelerated by using Discrete Logarithm Problem (DLP). The performance of the purposed model has been successfully tested by computer simulation and the results are presents both quantitively and qualitatively. | ||
| Keywords | ||
| Key Exchange; Neural network; Synchronize; Discrete Logarithm Problem | ||
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