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Improving the high order nonlinearity lower bound for Boolean functions with given algebraic immunity
Authors:Panagiotis Rizomiliotis
Institution:
  • Department of Information and Communication Systems Engineering, University of the Aegean, Karlovassi, Samos, GR-83200, Greece
  • Abstract:Algebraic immunity is a recently introduced cryptographic parameter for Boolean functions used in stream ciphers. If pAI(f) and pAI(f⊕1) are the minimum degree of all annihilators of f and f⊕1 respectively, the algebraic immunity AI(f) is defined as the minimum of the two values. Several relations between the new parameter and old ones, like the degree, the r-th order nonlinearity and the weight of the Boolean function, have been proposed over the last few years.In this paper, we improve the existing lower bounds of the r-th order nonlinearity of a Boolean function f with given algebraic immunity. More precisely, we introduce the notion of complementary algebraic immunityView the MathML source defined as the maximum of pAI(f) and pAI(f⊕1). The value of View the MathML source can be computed as part of the calculation of AI(f), with no extra computational cost. We show that by taking advantage of all the available information from the computation of AI(f), that is both AI(f) and View the MathML source, the bound is tighter than all known lower bounds, where only the algebraic immunity AI(f) is used.
    Keywords:Algebraic immunity  Cryptography  Algebraic attack  _method=retrieve&  _eid=1-s2  0-S0166218X10002970&  _mathId=si22  gif&  _pii=S0166218X10002970&  _issn=0166218X&  _acct=C000069490&  _version=1&  _userid=6211566&  md5=1750a750027c03a91669fb81fcb878a1')" style="cursor:pointer  r-th order nonlinearity" target="_blank">" alt="Click to view the MathML source" title="Click to view the MathML source">r-th order nonlinearity  Boolean function
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