DocumentCode
1311599
Title
Bent and Hyper-Bent Functions in Polynomial Form and Their Link With Some Exponential Sums and Dickson Polynomials
Author
Mesnager, Sihem
Author_Institution
Dept. of Math., Univ. of Paris VIII, St. Denis, France
Volume
57
Issue
9
fYear
2011
Firstpage
5996
Lastpage
6009
Abstract
Bent functions are maximally nonlinear Boolean functions with an even number of variables. They were introduced by Rothaus in 1976. For their own sake as interesting combinatorial objects, but also because of their relations to coding theory (Reed-Muller codes) and applications in cryptography (design of stream ciphers), they have attracted a lot of research, specially in the last 15 years. The class of bent functions contains a subclass of functions, introduced by Youssef and Gong in 2001, the so-called hyper-bent functions, whose properties are still stronger and whose elements are still rarer than bent functions. Bent and hyper-bent functions are not classified. A complete classification of these functions is elusive and looks hopeless. So, it is important to design constructions in order to know as many of (hyper)-bent functions as possible. This paper is devoted to the constructions of bent and hyper-bent Boolean functions in polynomial forms. We survey and present an overview of the constructions discovered recently. We extensively investigate the link between the bentness property of such functions and some exponential sums (involving Dickson polynomials) and give some conjectures that lead to constructions of new hyper-bent functions.
Keywords
Boolean functions; Reed-Muller codes; polynomials; Dickson Polynomials; coding theory; combinatorial objects; cryptography; exponential sums; hyper-bent Boolean functions; nonlinear Boolean functions; polynomial form; Boolean functions; Cryptography; Jacobian matrices; Linear code; Polynomials; Vectors; Bent functions; Boolean function; Dickson polynomials; Kloosterman sums; Reed–Muller codes; Walsh–Hadamard transformation; covering radius; cubic sums; hyper-bent functions; maximum nonlinearity;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2011.2124439
Filename
6006596
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