Results 291 to 300 of about 425,450 (331)
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Construction of resilient functions
Wuhan University Journal of Natural Sciences, 2005Based on the relationship between nonlinearity and resiliency of a multi-output function, we present a method for constructing nonintersecting linear codes from packing design. Through these linear codes, we obtainn-variable,m-output,t-resilient functions with very high nonlinearity. their nonlinearities are currently the best results for most of cases.
Zhang Jie, Wen Qiao-yan
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Cubic Boolean Functions With Highest Resiliency
IEEE Transactions on Information Theory, 2004We classify those cubic m-variable Boolean functions which are (m $4)-resilient. Our main result is that there are four types of such functions, depending on the structure of the support of their Walsh spectra.
C. Carlet, P. Charpin
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Leakage-Resilient Authenticated Encryption from Leakage-Resilient Pseudorandom Functions
2021In this work we study the leakage resilience of authenticated encryption schemes. We show that, if one settles for non-adaptive leakage, leakage-resilient authenticated encryption schemes can be built from leakage-resilient pseudorandom functions.
Juliane Krämer, Patrick Struck
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Designs, Codes and Cryptography, 2003
This neat paper exploits a description given by Carlet and Guillot for the efficient construction of binary resilient functions. It utilizes a combinatorial formulation of the algebraic normal form. The mechanism of blowing up uses Steiner designs as ingredients, thus creating an interesting link to design theory.
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This neat paper exploits a description given by Carlet and Guillot for the efficient construction of binary resilient functions. It utilizes a combinatorial formulation of the algebraic normal form. The mechanism of blowing up uses Steiner designs as ingredients, thus creating an interesting link to design theory.
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Journal of Adolescence
AbstractIntroductionExecutive functions (EF), encompassing inhibition, updating, and shifting, are widely acknowledged as cognitive factors that promote resilience. However, prior research examining the association between EF and resilience has been hampered by inconsistent conceptualizations of resilience and an overreliance on cross‐sectional designs.
Yanlin Zhou +4 more
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AbstractIntroductionExecutive functions (EF), encompassing inhibition, updating, and shifting, are widely acknowledged as cognitive factors that promote resilience. However, prior research examining the association between EF and resilience has been hampered by inconsistent conceptualizations of resilience and an overreliance on cross‐sectional designs.
Yanlin Zhou +4 more
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Resilient functions over finite fields
IEEE Transactions on Information Theory, 2003Resilient functions play an important role in the art of information security. In this correspondence, we discuss the existence, construction, and enumeration of resilient functions over finite fields. We show that, for each finite field GF(q) with q > 3, we can easily construct a large number of (q, n, 1, n - 1) resilient functions, most of which ...
null Yupu Hu, null Guozhen Xiao
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Group Actions on Binary Resilient Functions
Applicable Algebra in Engineering, Communication and Computing, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Constructions of Almost Resilient Functions
2005The relation between almost resilient function and its component functions is investigated in this paper. We prove that if each nonzero linear combination of f1,f2,⋯,fm is an e-almost(n,1,k)-resilient function, then F=(f1,f2,⋯,fm) is a $\frac{2^{m}-1}{2^{m}-1}\epsilon$-almost(n,m,k)-resilient function.
Pin-Hui Ke, Tai-Lin Liu, Qiao-Yan Wen
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Elliptic Curves and Resilient Functions
2001In this paper, we propose a novel relationship between the correlation of two polynomial-type Boolean functions and the order of an associated algebraic curve. By this relationship, we propose a method to generate a resilient (correlation immune and balanced) function from a cubic polynomial.
Jung Hee Cheon, Seongtaek Chee
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On construction of resilient functions
1996An (n, m, t) resilient function is a function f: GF(2) n → GF(2) m such that every possible output m-tuple is equally likely to occur when the values of t arbitrary inputs are fixed by an opponent and the remaining n−t input bits are chosen independently at random.
Chuan-Kun Wu, Ed Dawson
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