Construction of subsets of bent functions satisfying restrictions in the Reed-Muller domain

Author:

Radmanovic Milos1,Stankovic Radomir1

Affiliation:

1. Faculty of Electronic Engineering, Niš

Abstract

Bent functions are Boolean functions with highest nonlinearity which makes them interesting for cryptography. Determination of bent functions is an important but hard problem, since the general structure of bent functions is still unknown. Various constructions methods for bent functions are based on certain deterministic procedures, which might result in some regularity that is a feature undesired for applications in cryptography. Random generation of bent functions is an alternative, however, the search space is very large and the related procedures are time consuming. A solution is to restrict the search space by imposing some conditions that should be satisfied by the produced bent functions. In this paper, we propose three ways of imposing such restrictions to construct subsets of Boolean functions within which the bent functions are searched. We estimate experimentally the number of bent functions in the corresponding subsets of Boolean functions.

Publisher

National Library of Serbia

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Efficient Random Generating of Bent Functions Using Hybrid CPU-GPU Platform;2024 11th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN);2024-06-03

2. Matrix-Valued Ternary Bent Functions;Synthesis Lectures on Engineering, Science, and Technology;2024

3. Maiorana-McFarland Boolean Bent Functions Characterized by Their Reed-Muller Spectra;Advanced Boolean Techniques;2023

4. Construction of Multiple-Valued Bent Functions Using Subsets of Coefficients in GF and RMF Domains;IEICE Transactions on Information and Systems;2021-08-01

5. Efficient Discovery of Bent Function Using Reed-Muller Subsets;2020 55th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST);2020-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3