Semi – Chaotic Mutual Learning Platform for Key – Exchange Algorithm Using Neural Network | ||
| Engineering and Technology Journal | ||
| Article 1, Volume 30, Issue 11, June 2012, Pages 1971-1979 PDF (296.21 K) | ||
| DOI: 10.30684/etj.30.11.11 | ||
| Authors | ||
| Enas H. Salih; Mohamad AB. Saleh; Mohammed Gheni Alwan | ||
| Abstract | ||
| Neural network has been emerged the cryptography field as efficient tool for both cryptanalysis and cryptography due to its amazing ability to explore solution space for a given problem. One of the latest observations for the behavior of neural networks is its ability to synchronize itself to other neural network based on mutual learning rules; this phenomenon has been under the focus of specialist in cryptographic field due to its significant usage as highly secure key exchange algorithm. This paper is presenting new approach to drive the synchronization based on semi-chaotic mutual learning, where the output of each neural network will be extracted through non-linear mapping to memory filled with balanced number of 1's and 0's as this paper will demonstrate. | ||
| Keywords | ||
| neural network; synchronization; Cryptography; Mutual learning; Chaotic; Key Exchange | ||
|
Statistics Article View: 171 PDF Download: 90 |
||