Pseudo Random Number Generator Based on Back Propagation Neural Network

作     者：WANG Bang-ju WANG Yu-hua NIU Li-ping ZHANG Huan-guo 

作者机构：School of Computer Science Wuhan University Wuhan 430079 CHN School of Science Huazhong Agricultural University Wuhan 430070 CHN Department of Computer Science Henan Normal University Xinxiang 453007 CHN 

基　　金：National Natural Science Foundation of China(60363087  90104005 and 60473023) 

出 版 物：《Semiconductor Photonics and Technology》 (半导体光子学与技术（英文版）)

年 卷 期：2007年第13卷第2期

页      码：164-168页

摘      要：Random numbers play an increasingly important role in secure wire and wireless communication. Thus the design quality of random number generator(RNG) is significant in information security. A novel pseudo RNG is proposed for improving the security of network communication. The back propagation neural network(BPNN) is nonlinear, which can be used to improve the traditional RNG. The novel pseudo RNG is based on BPNN techniques. The result of test suites standardized by the U.S shows that the RNG can satisfy the security of communication.

主 题 词：pseudo random number generator(PRNN) random number generator(RNG) back propagation neural network(BPNN) 

学科分类：0810[工学-土木类] 08[工学] 081001[081001] 

馆 藏 号：203517041...