1. 武汉大学计算机学院空天信息安全与可信计算教育部重点实验室,湖北,武汉,430072
2. 中国科学院数学机械化重点实验室,北京,100080
3. 武汉大学计算机学院空天信息安全与可信计算教育部重点实验室湖北武汉,430072
4. 中国科学院数学机械化重点实验室北京,100080
纸质出版:2011
移动端阅览
王后珍, 张焕国, 杨, 等. 多变元Hash函数的构造与分析[J]. 电子学报, 2011,39(1):237-241.
WANG Hou-zhen, ZHANG Huan-guo, YANG Yang. Design and Analysis of Multivariate Hash Function[J]. Acta Electronica Sinica, 2011, 39(1): 237-241.
本文在基于非线性多变元多项式方程组难解性的基础上
提出了一种新的Hash算法
新算法与目前广泛使用的Hash算法相比具有下列优点:安全性基于一个公认的数学难题;输出Hash值长度可变;引入了整体随机性
从一族Hash函数中随机选择Hash函数而不是随机化消息本身;设计自动化
用户可根据实际需求构造满足其特定要求的Hash函数.本文还详细讨论了新Hash算法的安全性、效率和性能
并通过仿真实验
指出了新算法的具体构造方法.实验结果表明
新算法在效率和性能方面与其它Hash函数具有可比性.
The novel Hash algorithm whose security is based on the difficult of multivariate polynomial equations over a finite field is designed and implemented.We propose the idea of building a secure hash using higher degree multivariate polynomials as the compression function of MPH.The new algorithm compared with the current widespread use of the Hash algorithms has the following advantages:Security based on a recognized difficult problem of mathematics;Hash length can be free to change
according to the needs of the user;Hash function as a whole is Randomly selected;Design automation
users can be constructed to meet the actual needs of the specific Hash function.We analyze some security properties and potential feasibility
where the compression functions are randomly chosen 3rd polynomials
the experiment results show that the new algorithm has good properties in the efficiency and performance
and is comparable with other Hash functions.
0
浏览量
1223
下载量
3
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621