A unified construction of weightwise perfectly balanced Boolean functions

被引:1
|
作者
Zhao, Qinglan [1 ]
Li, Mengran [1 ]
Chen, Zhixiong [2 ]
Qin, Baodong [1 ]
Zheng, Dong [1 ,3 ]
机构
[1] Xian Univ Posts & Telecommun, Natl Engn Res Ctr Secured Wireless, Xian 710121, Peoples R China
[2] Putian Univ, Fujian Key Lab Financial Informat Proc, Putian 351100, Peoples R China
[3] Qinghai Normal Univ, Sch Comp, Xining 810008, Peoples R China
基金
中国国家自然科学基金;
关键词
FLIP cipher; Weightwise perfectly balancedness; Boolean function; k-weight nonlinearity; Algebraic degree; Algebraic immunity; ALGEBRAIC ATTACKS; NONLINEARITY;
D O I
10.1016/j.dam.2023.04.021
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
At Eurocrypt 2016, Meaux et al. presented FLIP, a new family of stream ciphers that aimed to enhance the efficiency of homomorphic encryption frameworks. Motivated by FLIP, recent research has focused on the study of Boolean functions with good cryptographic properties when restricted to subsets of the space Fn2. If an n-variable Boolean function has the property of balancedness when restricted to each set of vectors with fixed Hamming weight between 1 and n - 1, it is a weightwise perfectly balanced (WPB) Boolean function. In the literature, a few algebraic constructions of WPB functions are known, in which there are some constructions that use iterative method based on functions with low degrees of 1, 2, or 4. In this paper, we generalize the iterative method and contribute a unified construction of WPB functions based on functions with algebraic degrees that can be any power of 2. For any given positive integer d not larger than m, we first provide a class of 2m-variable Boolean functions with a degree of 2d-1. Utilizing these functions, we then present a construction of 2m-variable WPB functions gm;d. In particular, gm;d includes four former classes of WPB functions as special cases when d = 1, 2, 3, m. When d takes other integer values, gm;d has never appeared before. In addition, we prove the algebraic degree of the constructed WPB functions and compare the weightwise nonlinearity of WPB functions known so far in 8 and 16 variables. (c) 2023 Elsevier B.V. All rights reserved.
引用
收藏
页码:190 / 201
页数:12
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