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破译公钥密码的一种神经网络方法 被引量:4

A Neural Network Method for Deciphering the Public Key Cryptograph
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摘要 本文先以RSA密码系统为例介绍了公钥密码体制的基本原理,然后概述了BP神经网络的基本结构及其学习算法,分析了用BP神经网络破译RSA密码的破译原理,给出了BP神经网络破译器的结构。 The basic principle of the public key cryptograph is introduced taking the RSA cryptosystem as an example firstly.Then the basic structure and learning algorithm of BP neural network is outlined,and the principle of deciphering RSA cryptosystem using BP neural network is analyzed.This paper also gives the BP neural network decoder structure,its design method and some experimental results.
作者 戴葵 贾宇虎
出处 《计算机工程与科学》 CSCD 1997年第4期44-48,共5页 Computer Engineering & Science
关键词 公钥密码 RAS密码 神经网络 译码 密码学 the public key cryptograph,RSA cryptosystem,neural network.
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同被引文献20

  • 1郭现峰,袁丁.基于RSA防欺诈秘密共享体制的安全性分析和改进[J].四川师范大学学报(自然科学版),2004,27(5):541-543. 被引量:5
  • 2孟显勇,袁丁.多层BP神经网络用于破译椭圆曲线密码[J].四川师范大学学报(自然科学版),2005,28(3):371-375. 被引量:3
  • 3Francesco E L. On Neurocrytology[ A]. Proc 3rd Italian Workshop on Parallel Architectures and Neural Networks[ C]. Singaproe: World Scientific, 1990. 337~343.
  • 4BruceS.应用密码学[M].北京:机械工业出版社,2000.26-27.
  • 5Huang S X, Huang Y F. Bounds on number of hidden neurons in multiplayer perceptrons[J]. IEEE Transactions on Neural Networks,1991,2(1) :47 ~ 55.
  • 6Lauria F E. On Neurocrytology. E. R. Caianiello ed. Parallel Architectures and Neural Networks. Third Italian Workshop [ J ]. World Scientic ,Singapore, 1990:337-343.
  • 7Lauria F E. Non-linguistic Neurocrytology and the Shannon theorem [ M]. M. Marinaro & G. Scarpetta eds. , Structures: from Physics to General Systems [ J ]. World So. (Singupore) , 1992 ( 2 ) : 238-244.
  • 8Diffie W, Hellman M. New Directions in Cryptography [ J ]. IEEE Trans. Inform. Theory, 1976, IT-22 (6) :644-654.
  • 9Rivest R L,Shamir A,Adleman L. A Method for Obtaining Digital Signatures and Public-Key Cryptosystems [ J ]. Communications of the ACM,1978 ,21 (2) :120-126.
  • 10陈宝林最优化理论与算法[M].

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