作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2008, Vol. 34 ›› Issue (16): 153-156. doi: 10.3969/j.issn.1000-3428.2008.16.053

• 安全技术 • 上一篇    下一篇

六元一阶相关免疫函数的新计数算法

郑浩然1,张海模2   

  1. (1. 解放军信息工程大学电子技术学院,郑州 450004;2. 黄淮学院,驻马店 463000)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-08-20 发布日期:2008-08-20

New Counting Algorithm for Six-variables 1st-order Correlation-immune Functions

ZHENG Hao-ran1, ZHANG Hai-mo2   

  1. (1. Institute of Electronic Technology, PLA Information Engineering University, Zhengzhou 450004; 2. Huanghuai University, Zhumadian 463000)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-08-20 Published:2008-08-20

摘要: 若布尔函数的输出不泄漏其输入值的有关信息,则该函数是相关免疫的。该文基于列平衡矩阵研究相关免疫函数的计数问题,利用穷举和统计相结合的方法对2k×6(0≤k≤16)阶定序列平衡矩阵进行计数,给出一种新的六元一阶相关免疫函数的计数算法。与同类算法相比,新算法的复杂度降为(224),大大提高了一阶相关免疫函数的计数效率。

关键词: 布尔函数, 相关免疫性, 列平衡矩阵

Abstract: The Boolean functions are correlation-immune if their outputs do not leak the information about their inputs. Based on the column-balanced matrix, this paper studies the problem of counting the correlation-immune functions, associates enumeration and statistic to count the 2k×6(0≤k≤16) order ordinal column-balanced matrixes, and puts forward a new enumeration algorithm of six-variables 1st-order correlation-immune functions. Compared with Sung’s algorithm, the complexity of the algorithm is decreased to (224), therefore the efficiency of counting the six-variables 1st-order correlation-immune functions is greatly improved.

Key words: Boolean functions, correlation-immunity, column-balanced matrix

中图分类号: