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Random Number Generator based on Hybrid Algorithm between Particle Swarm Optimization (PSO) Algorithm and 3D-Chaotic System and its Application | ||
| Iraqi Journal of Information Technology | ||
| Article 1, Volume 8, Issue 3, 2018, Pages 1-20 | ||
| Author | ||
| Rajaa Ahmed Ali | ||
| Abstract | ||
| There are many ways to reach premature convergence in the solution process and fall into the local optimal solution, one of easiest in Particle Swarm Optimization (PSO) algorithm. Many of interesting features such as 3D chaotic maps effected by initial condition and system parameter and mixing properties. In this paper, we exploit these interesting properties of 3D chaotic maps and PSO algorithm to design and implement a random number generator called 3D-LMPSO. To evaluate the randomness of the bits stream generated by 3D-LMPSO, the seven tests of NIST suite are used. The proposed 3D-LMPSO could be used in many applications requiring random binary sequences and in the design of secure cryptosystem, we apply (fingerprint and Iris) images. | ||
| Keywords | ||
| Particle Swarm Optimization Algorithm; Chaotic Maps | ||
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