半导体光子学与技术, 2007, 13 (2): 164, 网络出版: 2011-08-18  

Pseudo Random Number Generator Based on Back Propagation Neural Network

Pseudo Random Number Generator Based on Back Propagation Neural Network
作者单位
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
摘要
Abstract
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.

WANG Bang-ju, WANG Yu-hua, NIU Li-ping, ZHANG Huan-guo. Pseudo Random Number Generator Based on Back Propagation Neural Network[J]. 半导体光子学与技术, 2007, 13(2): 164. WANG Bang-ju, WANG Yu-hua, NIU Li-ping, ZHANG Huan-guo. Pseudo Random Number Generator Based on Back Propagation Neural Network[J]. Semiconductor Photonics and Technology, 2007, 13(2): 164.

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