随机数在安全电线和无线通讯中起一个日益重要的作用。因此随机数类岩山(RNG ) 的设计质量在信息安全是重要的。新奇假 RNG 为改进网络通讯的安全被建议。后向传播神经网络(BPNN ) 是非线性的,它能被用来改进传统的 RNG。新奇假 RNG 基于 BPNN 技术。成套测试程序的结果由 U 标准化了。S 证明 RNG 能满足通讯的安全。
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.