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Boolean functions with good cryptographic properties like high nonlinearity and algebraic degree play an important in the security of stream and block ciphers. Such functions may be designed, for instance, by algebraic constructions or…

神经与进化计算 · 计算机科学 2025-01-31 Claude Carlet , Marko Ðurasevic , Domagoj Jakobovic , Luca Mariot , Stjepan Picek

Bent Boolean functions are important objects in cryptography and coding theory, and there are several general approaches for constructing such functions. Metaheuristics proved to be a strong choice as they can provide many bent functions,…

神经与进化计算 · 计算机科学 2023-11-21 Claude Carlet , Marko Ðurasevic , Domagoj Jakobovic , Luca Mariot , Stjepan Picek

This paper focuses on the problem of evolving Boolean functions of odd sizes with high nonlinearity, a property of cryptographic relevance. Despite its simple formulation, this problem turns out to be remarkably difficult. We perform a…

神经与进化计算 · 计算机科学 2025-04-25 Claude Carlet , Marko Đurasevic , Domagoj Jakobovic , Stjepan Picek , Luca Mariot

Finding Boolean functions suitable for cryptographic primitives is a complex combinatorial optimization problem, since they must satisfy several properties to resist cryptanalytic attacks, and the space is very large, which grows super…

神经与进化计算 · 计算机科学 2022-02-17 Luca Mariot , Stjepan Picek , Domagoj Jakobovic , Marko Djurasevic , Alberto Leporati

Boolean functions are mathematical objects with numerous applications in domains like coding theory, cryptography, and telecommunications. Finding Boolean functions with specific properties is a complex combinatorial optimization problem…

神经与进化计算 · 计算机科学 2023-02-14 Marko Djurasevic , Domagoj Jakobovic , Luca Mariot , Stjepan Picek

Idempotent Boolean functions form a highly structured subclass of Boolean functions that is closely related to rotation symmetry under a normal-basis representation and to invariance under a fixed linear map in a polynomial basis. These…

密码学与安全 · 计算机科学 2026-02-03 Claude Carlet , Marko Ðurasevic , Domagoj Jakobovic , Luca Mariot , Stjepan Picek

Rotation symmetric Boolean functions represent an interesting class of Boolean functions as they are relatively rare compared to general Boolean functions. At the same time, the functions in this class can have excellent properties, making…

神经与进化计算 · 计算机科学 2023-11-21 Claude Carlet , Marko Ðurasevic , Bruno Gašperov , Domagoj Jakobovic , Luca Mariot , Stjepan Picek

One of the major issues of cryptography is the cryptanalysis of cipher algorithms. Cryptanalysis is the study of methods for obtaining the meaning of encrypted information, without access to the secret information that is normally required.…

密码学与安全 · 计算机科学 2016-09-14 Michel Dubois , Eric Filiol

Monotone Boolean functions are a structurally important class of Boolean functions, but their restricted form imposes strong limitations on achievable nonlinearity. In this paper, we investigate whether evolutionary computation can evolve…

神经与进化计算 · 计算机科学 2026-04-21 Claude Carlet , Marko Čupić , Marko Ðurasevic , Domagoj Jakobovic , Luca Mariot , Stjepan Picek

Attempts to separate the power of classical and quantum models of computation have a long history. The ultimate goal is to find exponential separations for computational problems. However, such separations do not come a dime a dozen: while…

量子物理 · 物理学 2013-12-05 Martin Roetteler

Boolean functions are mathematical objects used in diverse domains and have been actively researched for several decades already. One domain where Boolean functions play an important role is cryptography. There, the plethora of settings one…

密码学与安全 · 计算机科学 2023-01-20 Marko Djurasevic , Domagoj Jakobovic , Luca Mariot , Stjepan Picek

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…

神经与进化计算 · 计算机科学 2023-06-16 Bruno Gašperov , Marko Đurasević , Domagoj Jakobović

Negabent Boolean functions are defined by having a flat magnitude spectrum under the nega-Hadamard transform. They exist in both even and odd dimensions, and the subclass of functions that are simultaneously bent and negabent…

神经与进化计算 · 计算机科学 2026-02-03 Claude Carlet , Marko Ðurasevic , Ermes Franch , Domagoj Jakobovic , Luca Mariot , Stjepan Picek

Semi-bent Boolean functions are interesting from a cryptographic standpoint, since they possess several desirable properties such as having a low and flat Walsh spectrum, which is useful to resist linear cryptanalysis. In this paper, we…

元胞自动机与格子气 · 物理学 2020-05-19 Luca Mariot , Martina Saletta , Alberto Leporati , Luca Manzoni

Boolean functions are mathematical objects used in diverse applications. Different applications also have different requirements, making the research on Boolean functions very active. In the last 30 years, evolutionary algorithms have been…

神经与进化计算 · 计算机科学 2024-02-16 Claude Carlet , Marko Ðurasevic , Domagoj Jakobovic , Stjepan Picek , Luca Mariot

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 work offers a new approach to the formation of functions which are used in cryptography and cryptanalysis. It will use alternative forms of representation of Boolean functions, that is, those which are different from the classical form,…

密码学与安全 · 计算机科学 2015-10-06 Kushch Sergii

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…

密码学与安全 · 计算机科学 2017-09-12 Jian Liu , Sihem Mesnager

Finding balanced, highly nonlinear Boolean functions is a difficult problem where it is not known what nonlinearity values are possible to be reached in general. At the same time, evolutionary computation is successfully used to evolve…

神经与进化计算 · 计算机科学 2022-02-18 Claude Carlet , Marko Djurasevic , Domagoj Jakobovic , Luca Mariot , Stjepan Picek

Boolean network models have gained popularity in computational systems biology over the last dozen years. Many of these networks use canalizing Boolean functions, which has led to increased interest in the study of these functions. The…

离散数学 · 计算机科学 2015-04-29 Qijun He , Matthew Macauley
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