| 基于离散Hopfield神经网络的数据加密算法 |
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| 引用本文： | 丁卫平.基于离散Hopfield神经网络的数据加密算法[J].湖南理工学院学报,2007,20(3):24-25,94. |
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| 作者姓名： | 丁卫平 |
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| 作者单位： | 湖南理工学院数学与应用数学系 湖南岳阳414006 |
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| 摘 要： | 离散Hopfield神经网络的吸引性不仅具有重要理论意义,而且是现代网络应用基础。基于离散Hopfield神经网络,简要讨论了算讨论了其吸引性;并利用其非线性混沌机制和并行计算的特点,提出了数据分组加密算法和公钥加密算法;法的安全性。
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| 关 键 词： | 离散Hopfield神经网络 加密算法 吸引子 |
| 文章编号： | 1672-5298（2007）03-0024-02 |
| 修稿时间： | 2007-04-05 |
Encryption algorithm based on discrete Hopfield neural network |
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| DING Wei-ping.Encryption algorithm based on discrete Hopfield neural network[J].Journal of Hunan Institute of Science and Technology,2007,20(3):24-25,94. |
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| Authors: | DING Wei-ping |
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| Institution: | Department of Mathematics, Hunan Institute of Science and Technology, Hunan Yueyang 414006, China |
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| Abstract: | The stability of discrete Hopfield neural networks not only has an important theoretical significance,but also is thefoundation of the applications of the networks.In this paper,the non-linear and random characteristics of chaos provide an effective approach to enhance information security;A perfect block cipher scheme with cipher blockchaining model is described for a symmetric encryption algorithm based on the chaotic attractors in discrete Hopfield neural networks; Security of the algorithm is discussed. |
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| Keywords: | discrete Hopfield neural network encryption algorithm attractor |
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