Abstract
An (n, m, k)-resilient function is a function f: F2n → F2m such that every possible output m-tuple is equally likely to occur when the values of k arbitrary inputs are fixed by an adversary and the remaining n - k input bits are chosen independently at random. In this paper we propose a new method to generate a (n + D + 1,m,d - 1)-resilient function for any non-negative integer D whenever a [n,m,d] linear code exists. This function has algebraic degree D and nonlinearity at least 2n+D - 2n⌊√2n+D+1r+ 2 n-1. If we apply this method to the simplex code, we can get a (t(2m - 1) + D + 1,m,t2m-1 - 1)-resilient function with algebraic degree D for any positive integers m,t and D. Note that if we increase the input size by D in the proposed construction, we can get a resilient function with the same parameter except algebraic degree increased by D. © Springer-Verlag Berlin Heidelberg 2001.
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CITATION STYLE
Cheon, J. H. (2001). Nonlinear vector resilient functions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2139 LNCS, pp. 458–469). Springer Verlag. https://doi.org/10.1007/3-540-44647-8_27
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