Authors : Hamed Rahimov, Mohsen Farhadi and Majid Babai
Abstract: Pseudorandom number generators are used in many areas of contemporary technology such as modern communication systems and engineering applications. In recent years a new approach to secure transmission of information based on application of the theory of chaotic dynamic systems has been developed. The idea of Constructing Random gystems based on chaotic (CRNG) intrinsically exploits the property of extreme sensitivity of trajectories to small changes of initial conditions/system parameters and other properties can be considered analogous to the confusion, diffusion with small changes in plaintext/secret key, deterministic pseudorandom numbers and algorithmic complexity properties of traditional cryptosystems. As a result of this close relationship, several chaos based cryptosystems have been put forward since 1990. We discuss suitability of the chaos based random number in random number generator by using the genetic algorithm that can calculate approximate answer in optimization problems. The simulation’s result showed that chaos based random number generators can generate more uniform than low-discrepancy random number generator.
Hamed Rahimov, Mohsen Farhadi and Majid Babai, 2010. Chaotic Random Number Generator and It’s Evaluation by Genetic Algorithm. International Journal of Soft Computing, 5: 200-205.