RANDOM NUMBER GENERATOR OF BP NEURAL NETWORK BASED ON SHA-2 (512)
With the rapid development of cryptography and network communication, random number is becoming more and more important in secure data communication.The nonlinearity of backward propagation neural network (BPNN) is used to improve the traditional random number generator (RNG).SHA-2 (512) hash function can ensure the unpredictability of the produced random numbers.So, a novel and secure RNG architecture is proposed in the presented paper, which is BPNN based on SHA-2 (512) hash function.The quality of random number generated by this proposed architecture can well satisfy the security of cryptographic system according to results of test suites standardized by the U.S.The proposed architecture can be used to improve performances such as power consumption, flexibility, cost and area in network security and security for cryptographic systems.
Pseudo Random Number Generator (PRNG) Random Number Generator (RNG) Back Propagation Neural Network (BPNN) SHA-2 (512)
BANG-JU WANG HONG-JIANG CAO YU-HUA WANG HUAN-GUO ZHANG
School of Science, Huazhong Agricultural University, Wuhan 430070, China;School of Computer Science, School of Economics, Wuhan University of technology, Wuhan 430081, China School of Computer Science, Wuhan University, Wuhan 430079, China
国际会议
2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)
香港
英文
2708-2712
2007-08-19（万方平台首次上网日期，不代表论文的发表时间）