Pseudo Random Number Generator Based on Hopfield Neural Network

Author

Wang, Yu-hua ; Shen, Zhi-Dong ; Zhang, Huan-guo

Author_Institution

Sch. of Comput. Sci., Wuhan Univ.

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

2810

Lastpage

2813

Abstract

Random numbers play an increasingly important role in secure Internet communication. Owing to this reason, the quality of random numbers is crucial in the design of random number generator. This paper proposes a novel pseudo random number generator for application in the field of secure communications. The novel pseudo random number generator is based on Hopfield neural network techniques. The quality of random number generated by it can satisfy the requirement of secure communication. For the Hopfield neural network is nonlinear, it can be used to improve the traditional random number generator

Keywords

Hopfield neural nets; Internet; cryptography; random number generation; telecommunication security; nonlinear Hopfield neural network; pseudo random number generator; secure Internet communication; Application software; Computer science; Convergence; Cryptography; Cybernetics; Electronic mail; Hopfield neural networks; IP networks; Machine learning; Neural networks; Random number generation; Recurrent neural networks; Hopfield Neural Network; Pseudo; Random Number Generator;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.259003

Filename

4028539