| 基于神经网络混沌吸引子的混合加密 |
| |
| 引用本文： | 何峥,李国刚.基于神经网络混沌吸引子的混合加密[J].通信技术,2012,45(5):50-52. |
| |
| 作者姓名： | 何峥 李国刚 |
| |
| 作者单位： | 1. 国立华侨大学信息科学与工程学院,福建厦门,361021
2. 国立华侨大学信息科学与工程学院,福建厦门361021;厦门大学信息科学与技术学院,福建厦门361005 |
| |
| 基金项目： | 侨办基金(No.10QZR02);泉州市科技计划(No.2011G6) |
| |
| 摘 要： | 把Diffe-Hellman密钥交换协议和流密码算法相结合,设计了一种基于神经网络混沌吸引子的混合加密算法。算法采用基于混沌吸引子的Diffe-Hellman公钥体制,保证了密钥分发的安全性,同时拥有流密码速度快的优点,提高了加密速度,因此实用性较好,能够满足下一代通信实时快速的需求。分析了算法的安全性和加解密效率,利用vc编程实现算法,并对仿真生成的密钥流和密文进行测试。实验结果表明,算法具有较好的安全性和加解密速度。
|
| 关 键 词： | 神经网络混沌吸引子 混合加密算法 密钥流 |
Hybrid Cryptosystem based on Chaotic Attractors of Neural Networks |
| |
| HE Zheng
,
LI Guo-gang.Hybrid Cryptosystem based on Chaotic Attractors of Neural Networks[J].Communications Technology,2012,45(5):50-52. |
| |
| Authors: | HE Zheng LI Guo-gang |
| |
| Affiliation: | ①②(①School of Information Science and Engineering,Huaqiao University,Xiamen Fujian 361021,China;②School of Information Science and Technology,Xiamen University,Xiamen Fujian 361005,China) |
| |
| Abstract: | By combining key-exchange agreement and stream cipher algorithms,a hybrid encryption algorithm based on chaotic attractors of neural networks is designed.This algorithm,with chaotic attractor-based Diffe-Hellman public-key crypto system,could ensure the security of key distribution while maintaining the high encryption speed of the stream cipher,and thus is of fairly good practicability.The security and the encryption efficiency of the new algorithm are analyzed and discussed.The algorithm is implemented by using VC program,and the simulated key stream and cipher text are tested.The experimental results show that the proposed crypto algorithm is of feasibility and fairly high encryption/decryption speed. |
| |
| Keywords: | chaotic attractors of neural networks hybrid cryptosystem public-key cryptosystem |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
