Title :
Pseudorandom number generators based on evolutionary algorithm
Author :
Zeng, Yong ; Ma, JianFeng
Author_Institution :
Minist. of Educ. Key Lab. of Comput. Networks & Inf. Security, Xidian Univ., Xian, China
Abstract :
A family of novel pseudorandom number generators is proposed based on an evolutionary algorithm. These pseudorandom number generators are expressed as EAPRNG. EAPRNGs are driven by some existed simple and unsafe generators which are denoted by mother generators (MG), while outputs of the MGs are hidden by EAPRNGs. The analysis indicates that EAPRNGs are resistant to many known attacks, and that they have good statistical properties, such as uniform probability distribution over GF (2l) and large periods.
Keywords :
cryptography; evolutionary computation; probability; random number generation; EAPRNG; GF (2l); evolutionary algorithm; mother generators; pseudorandom number generators; uniform probability distribution; Computer networks; Computer science education; Cryptography; Evolutionary computation; Information security; Laboratories; Partial response channels; Probability distribution; Radioactive decay; Random number generation;
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
DOI :
10.1109/CEC.2003.1299872
