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In a prior paper [14], along with P. Ellingsen, P. Felke and A. Tkachenko, we defined a new (output) multiplicative differential, and the corresponding c-differential uniformity, which has the potential of extending differential…

密码学与安全 · 计算机科学 2020-07-07 Constanza Riera , Pantelimon Stanica

In a prior paper \cite{EFRST20}, two of us, along with P. Ellingsen, P. Felke and A. Tkachenko, 1defined a new (output) multiplicative differential, and the corresponding $c$-differential uniformity, which has the potential of extending…

信息论 · 计算机科学 2021-03-23 Sihem Mesnager , Constanza Riera , Pantelimon Stanica , Haode Yan , Zhengchun Zhou

In this paper we generalize Dillon's switching method to characterize the exact $c$-differential uniformity of functions constructed via this method. More precisely, we modify some PcN/APcN and other functions with known $c$-differential…

信息论 · 计算机科学 2022-04-20 Chunlei Li , Constanza Riera , Pantelimon Stanica

In this paper we define a new (output) multiplicative differential, and the corresponding $c$-differential uniformity. With this new concept, even for characteristic $2$, there are perfect $c$-nonlinear (PcN) functions. We first…

信息论 · 计算机科学 2019-09-10 Pal Ellingsen , Patrick Felke , Constanza Riera , Pantelimon Stanica , Anton Tkachenko

Recently, a new concept called the $c$-differential uniformity was proposed by Ellingsen et al. (2020), which allows to simplify some types of differential cryptanalysis. Since then, finding functions having low $c$-differential uniformity…

信息论 · 计算机科学 2022-06-27 Jaeseong Jeong , Namhun Koo , Soonhak Kwon

Recently, a new concept called multiplicative differential cryptanalysis and the corresponding $c$-differential uniformity were introduced by Ellingsen et al.~\cite{Ellingsen2020}, and then some low differential uniformity functions were…

信息论 · 计算机科学 2021-04-28 Xiaoqiang Wang , Dabin Zheng

Functions with low c-differential uniformity have optimal resistance to some types of differential cryptanalysis. In this paper, we investigate the c-differential uniformity of power functions over finite fields. Based on some known almost…

信息论 · 计算机科学 2020-08-28 Zhengbang Zha , Lei Hu

Almost perfect nonlinear (APN) functions on finite fields of characteristic two have been studied by many researchers. Such functions have useful properties and applications in cryptography, finite geometries and so on. However APN…

组合数学 · 数学 2018-07-09 Masamichi Kuroda , Shuhei Tsujie

Very recently, a new concept called multiplicative differential (and the corresponding $c$-differential uniformity) was introduced by Ellingsen \textit{et al} in [C-differentials, multiplicative uniformity and (almost) perfect…

信息论 · 计算机科学 2020-04-27 Haode Yan , Sihem Mesnager , Zhengchun Zhou

Functions with low $c$-differential uniformity were proposed in $2020$ and attracted lots of attention, especially the P$c$N and AP$c$N functions, due to their applications in cryptography. The objective of this paper is to study P$c$N and…

信息论 · 计算机科学 2020-10-13 Yanan Wu , Nian Li , Xiangyong Zeng

The notion of $c$-differential uniformity has recently received a lot of attention since its proposal~\cite{Ellingsen}, and recently a characterization of perfect $c$-nonlinear functions in terms of difference sets in some quasigroups was…

信息论 · 计算机科学 2023-07-21 Kirpa Garg , Sartaj Ul Hasan , Pantelimon Stanica

We introduce a new concept, the APN-defect, which can be thought of as measuring the distance of a given function $G:\mathbb{F}_{2^n} \rightarrow \mathbb{F}_{2^n}$ to the set of almost perfect nonlinear (APN) functions. This concept is…

信息论 · 计算机科学 2024-06-12 Nurdagül Anbar , Tekgül Kalaycı , Alev Topuzoğlu

In this article, we study algebraic decompositions and secondary constructions of almost perfect nonlinear (APN) functions. In many cases, we establish precise criteria which characterize when certain modifications of a given APN function…

组合数学 · 数学 2025-01-08 Hiroaki Taniguchi , Alexandr Polujan , Alexander Pott , Razi Arshad

Finding functions, particularly permutations, with good differential properties has received a lot of attention due to their varied applications. For instance, in combinatorial design theory, a correspondence of perfect $c$-nonlinear…

组合数学 · 数学 2025-01-28 Kirpa Garg , Sartaj Ul Hasan , Pantelimon Stanica

Almost perfect nonlinear (APN) functions play an important role in the design of block ciphers as they offer the strongest resistance against differential cryptanalysis. Despite more than 25 years of research, only a limited number of APN…

组合数学 · 数学 2020-12-01 Christian Kaspers , Yue Zhou

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…

代数几何 · 数学 2008-05-02 François Rodier

In this paper some cryptographic properties of Boolean functions, including weight, balancedness and nonlinearity, are studied, particularly focusing on splitting functions and cubic Boolean functions. Moreover, we present some quantities…

密码学与安全 · 计算机科学 2024-06-17 Augustine Musukwa , Massimiliano Sala , Marco Zaninelli

The concept of differential uniformity was recently extended to the $c$-differential uniformity. An interesting problem in this area is the construction of functions with low $c$-differential uniformity and a lot of research has been done…

信息论 · 计算机科学 2022-08-02 Mohit Pal

We give some classes of power maps with low $c$-differential uniformity over finite fields of odd characteristic, {for $c=-1$}. Moreover, we give a necessary and sufficient condition for a linearized polynomial to be a perfect $c$-nonlinear…

组合数学 · 数学 2021-02-23 Sartaj Ul Hasan , Mohit Pal , Constanza Riera , Pantelimon Stanica

Only three classes of Almost Perfect Nonlinear (for short, APN) power functions over odd characteristic finite fields have been investigated in the literature, and their differential spectra were determined. The differential uniformity of…

信息论 · 计算机科学 2022-10-20 Haode Yan , Sihem Mesnager , Xiantong Tan
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