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Related papers: New non-linearity parameters of Boolean functions

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The r-th order nonlinearity of a Boolean function is the minimum number of elements that have to be changed in its truth table to arrive at a Boolean function of degree at most r. It is shown that the (suitably normalised) r-th order…

Combinatorics · Mathematics 2013-08-15 Kai-Uwe Schmidt

Bent functions, which are maximally nonlinear Boolean functions with even numbers of variables and whose Hamming distance to the set of all affine functions equals $2^{n-1}\pm 2^{\frac{n}{2}-1}$, were introduced by Rothaus in 1976 when he…

Information Theory · Computer Science 2012-05-08 Chunming Tang , Yanfeng Qi , Maozhi Xu , Baocheng Wang , Yixian Yang

Boolean functions on the space $F_{2}^m$ are not only important in the theory of error-correcting codes, but also in cryptography, where they occur in private key systems. In these two cases, the nonlinearity of these function is a main…

Number Theory · Mathematics 2015-06-26 Francois Rodier

We study the nonlinearity of functions defined on a finite field with 2^m elements which are the trace of a polynomial of degree 7 or more general polynomials. We show that for m odd such functions have rather good nonlinearity properties.…

Number Theory · Mathematics 2007-05-23 Eric Férard , François Rodier

In this paper, we study the Hamming distance between vectorial Boolean functions and affine functions. This parameter is known to be related to the non-linearity and differential uniformity of vectorial functions, while the calculation of…

Combinatorics · Mathematics 2025-03-07 Gabor P. Nagy

The largest Hamming distance between a Boolean function in $n$ variables and the set of all affine Boolean functions in $n$ variables is known as the covering radius $\rho_n$ of the $[2^n,n+1]$ Reed-Muller code. This number determines how…

Combinatorics · Mathematics 2017-11-23 Kai-Uwe Schmidt

Non-linearity of a Boolean function indicates how far it is from any linear function. Despite there being several strong results about identifying a linear function and distinguishing one from a sufficiently non-linear function, we found a…

Quantum Physics · Physics 2021-12-28 Debajyoti Bera , Tharrmashastha Sapv

A natural measure of smoothness of a Boolean function is its sensitivity (the largest number of Hamming neighbors of a point which differ from it in function value). The structure of smooth or equivalently low-sensitivity functions is still…

Computational Complexity · Computer Science 2015-08-12 Parikshit Gopalan , Noam Nisan , Rocco A. Servedio , Kunal Talwar , Avi Wigderson

The vectorial Boolean functions are employed in cryptography to build block coding algorithms. An important criterion on these functions is their resistance to the differential cryptanalysis. Nyberg defined the notion of almost perfect…

Algebraic Geometry · Mathematics 2008-05-02 François Rodier

For each non-constant Boolean function $q$, Klapper introduced the notion of $q$-transforms of Boolean functions. The {\em $q$-transform} of a Boolean function $f$ is related to the Hamming distances from $f$ to the functions obtainable…

Combinatorics · Mathematics 2019-05-02 Zhixiong Chen , Andrew Klapper

For each non-constant $q$ in the set of $n$-variable Boolean functions, the {\em $q$-transform} of a Boolean function $f$ is related to the Hamming distances from $f$ to the functions obtainable from $q$ by nonsingular linear change of…

Cryptography and Security · Computer Science 2017-11-09 Zhixiong Chen , Ting Gu , Andrew Klapper

We associate to each Boolean function a polynomial whose evaluations represents the distances from all possible Boolean affine functions. Both determining the coefficients of this polynomial from the truth table of the Boolean function and…

Information Theory · Computer Science 2014-04-11 Emanuele Bellini

The search for Boolean functions that can withstand the main crypyographic attacks is essential. In 2008, Carlet and Feng studied a class of functions which have optimal cryptographic properties with the exception of nonlinearity for which…

Information Theory · Computer Science 2020-03-30 François Rodier

In this paper, we study the value distributions of perfect nonlinear functions, i.e., we investigate the sizes of image and preimage sets. Using purely combinatorial tools, we develop a framework that deals with perfect nonlinear functions…

Combinatorics · Mathematics 2023-10-19 Lukas Kölsch , Alexandr Polujan

An algorithm for computing the nonlinearity of a Boolean function from its algebraic normal form (ANF) is proposed. By generalizing the expression of the weight of a Boolean function in terms of its ANF coefficients, a formulation of the…

Information Theory · Computer Science 2013-05-07 Çağdaş Çalık

In this paper, we consider the problem of finding perfectly balanced Boolean functions with high non-linearity values. Such functions have extensive applications in domains such as cryptography and error-correcting coding theory. We provide…

Neural and Evolutionary Computing · Computer Science 2023-06-16 Bruno Gašperov , Marko Đurasević , Domagoj Jakobović

Exhibiting an explicit Boolean function with a large high-order nonlinearity is an important problem in cryptography, coding theory, and computational complexity. We prove lower bounds on the second-order, third-order, and higher-order…

Cryptography and Security · Computer Science 2023-09-21 Jinjie Gao , Haibin Kan , Yuan Li , Jiahua Xu , Qichun Wang

A Boolean function $f$ on $n$ variables is said to be a bent function if the absolute value of all its Walsh coefficients is $2^{n/2}$. Our main result is a new asymptotic lower bound on the number of Boolean bent functions. It is based on…

Combinatorics · Mathematics 2024-10-29 V. N. Potapov , A. A. Taranenko , Yu. V. Tarannikov

Boolean functions with good cryptographic criteria when restricted to the set of vectors with constant Hamming weight play an important role in the recent FLIP stream cipher. In this paper, we propose a large class of weightwise perfectly…

Cryptography and Security · Computer Science 2017-09-12 Jian Liu , Sihem Mesnager

In 2007, Carlet and Ding introduced two parameters, denoted by $Nb_F$ and $NB_F$, quantifying respectively the balancedness of general functions $F$ between finite Abelian groups and the (global) balancedness of their derivatives $D_a…

Information Theory · Computer Science 2023-05-11 Shihui Fu , Xiutao Feng , Qiang Wang , Claude Carlet
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