Title :
A novel random number generator based on continuous-time chaos
Author :
Yu, Weizhong ; Bai, Guoqiang
Author_Institution :
Inst. of Microelectron., Tsinghua Univ., Beijing, China
Abstract :
In this paper, a novel random number generator using continuous-time chaos is described. Lorenz attractor is used to generate the combined fast sequence. The required symbol sequence is obtained from the original sequence which can easily be realized. The final random bit sequence is generated from the flip sample model using symbol sequence. Security analysis shows that the new arithmetic perfectly resists chosen plaintext attack and low precision with perturbation. The scheme is demonstrated to be secure and efficient against the commonly known attacks. The level of the randomness of the obtained bit sequence is tested by NIST-800-22. And the 0-1 sequence is proved to be high complexity and good cipher quality. The results of the test confirmed that the generated bit sequences do not show any nonrandom behavior.
Keywords :
chaos; continuous time systems; cryptography; random number generation; random sequences; Lorenz attractor; cipher quality; continuous time chaos; fast sequence; random number generator; security analysis; symbol sequence; Chaos; Correlation; Encryption; Generators; Nonlinear dynamical systems; Lorenz attractor; random number generator; symbol sequence;
Conference_Titel :
Network Infrastructure and Digital Content, 2010 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6851-5
DOI :
10.1109/ICNIDC.2010.5657957