2011
DOI: 10.1007/s11390-011-9433-6
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Construction of 1-Resilient Boolean Functions with Optimal Algebraic Immunity and Good Nonlinearity

Abstract: This paper presents a construction for a class of 1-resilient functions with optimal algebraic immunity on an even number of variables. The construction is based on the concatenation of two balanced functions in associative classes. For some n, a part of 1-resilient functions with maximum algebraic immunity constructed in the paper can achieve almost optimal nonlinearity. Apart from their high nonlinearity, the functions reach Siegenthaler's upper bound of algebraic degree. Also a class of 1-resilient function… Show more

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Cited by 10 publications
(15 citation statements)
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“…Compared with Carlet-Feng functions [9] and the functions constructed by the method of first-order concatenation existing in the literature on even (from 6 to 16) variables [19], ours show better immunity against fast algebraic attacks. We check that our constructions are almost perfect algebraic immune functions (see Definition 5).…”
Section: Our Contributionsmentioning
confidence: 91%
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“…Compared with Carlet-Feng functions [9] and the functions constructed by the method of first-order concatenation existing in the literature on even (from 6 to 16) variables [19], ours show better immunity against fast algebraic attacks. We check that our constructions are almost perfect algebraic immune functions (see Definition 5).…”
Section: Our Contributionsmentioning
confidence: 91%
“…We notice that Pan et al [19] presented a construction for a class of 1-resilient Boolean functions with optimal algebraic immunity on an even number of variables by dividing them into two correlation classes, that is, equivalence classes. However, the cryptographic properties of the resulting functions are highly related to those of the initial functions we choose, and in particular, one would not expect strong resistance against fast algebraic attack in the resulting Boolean functions.…”
Section: Fast Algebraic Attacksmentioning
confidence: 99%
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