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Evolutionary cryptography theory based generating method for a secure Koblitz elliptic curve and its improvement by a hidden Markov models

机译：基于进化密码理论的基于生成方法，用于安全的Koblitz椭圆曲线及其隐藏马尔可夫模型的改进

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Chao Wang; HuanGuo Zhang; LiLi Liu;
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年度 2012
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专利

1. RSA and Public-Key Cryptography Introduction to Cryptography Cryptography: Theory and Practice Algebraic Aspects of Cryptography Elliptic Curves: Number Theory and Cryptography Elliptic Curves in Cryptography Modern Cryptography, Probabilistic Proofs, and Pseudorandomness Foundations of Cryptography: Basic Tools The Design of Rijndael: AES --- the Advanced Encryption Standard Handbook of Applied Cryptography [J] . Susan Landau Bulletin of the American Mathematical Society . 2004,第3期

机译：RSA和公钥密码学密码学简介密码学：密码学的理论和实践椭圆曲线的密码学：密码学中的数论和密码学椭圆曲线现代密码学，概率证明和伪随机性基础密码学：基本工具Rijndael的设计： -应用密码学高级加密标准手册
2. Evolutionary cryptography theory-based generating method for secure ECs [J] . Chao Wang, Feng Hu, Huanguo Zhang, Tsinghua Science and Technology . 2017,第5期

机译：基于进化密码理论的安全EC生成方法
3. Evolutionary Cryptography Theory-Based Generating Method for Secure ECs [J] . Chao Wang, Feng Hu, Huanguo Zhang, 清华大学学报（英文版） . 2017,第005期

机译：基于进化密码学理论的安全EC生成方法
4. Koblitz Elliptic Curves Generating Based on Evolutionary Cryptography Theory and Verifying Parameters Recommended by NIST [C] . Wang Chao, Zhang Huanguo, Liu Lili TAPPI advanced coating fundamentals symposium . 2012

机译：基于进化密码学理论的Koblitz椭圆曲线生成并验证NIST推荐的参数
5. A group secure key management protocol for satellite multicast systems using elliptic curve cryptography primitives. [D] . Rao, Sathvik. 2016

机译：使用椭圆曲线密码原语的卫星多播系统的组安全密钥管理协议。
6. A Secured Authentication Protocol for Wireless Sensor Networks Using Elliptic Curves Cryptography [O] . Hsiu-Lien Yeh, Tien-Ho Chen, Pin-Chuan Liu, 2011

机译：使用椭圆曲线密码技术的无线传感器网络安全认证协议
7. Evolutionary cryptography theory-based generating method for secure ECs [O] . Chao Wang, Feng Hu, Huanguo Zhang, 2017

机译：基于进化密码理论的安全ECS的生成方法

Evolutionary cryptography theory based generating method for a secure Koblitz elliptic curve and its improvement by a hidden Markov models

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