Pseudo Random Number Generator Based on Back Propagation Neural Network  

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

机构地区：[1]School of Computer Science, Wuhan University, Wuhan 430079, CHN [2]School of Science, Huazhong Agricultural University, Wuhan 430070, CHN [3]Department of Computer Science, Henan Normal University, Xinxiang 453007, CHN

出　　处：《Semiconductor Photonics and Technology》2007年第2期164-168,共5页半导体光子学与技术（英文版）

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

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.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 theRNGcan satisfy the security of communication.

关 键 词：pseudo random number generator（PRNN） random number generator（RNG） back propagation neural network（BPNN） 

分 类 号：TN915.01[电子电信—通信与信息系统]