Wigner–Weyl transform: Difference between revisions

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In mathematics, the '''correlation immunity''' of a [[Boolean function]] is a measure of the degree to which its outputs are uncorrelated with some subset of its inputs. Specifically, a Boolean function is said to be correlation-immune ''of order m'' if every subset of ''m'' or fewer variables in <math>x_1,x_2,\ldots,x_n</math> is [[statistically independent]] of the value of <math>f(x_1,x_2,\ldots,x_n)</math>.
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== Definition ==
A function <math>f:\mathbb{F}_2^n\rightarrow\mathbb{F}_2</math> is <math>k</math>-th order correlation immune if for any independent <math>n</math> binary random variables <math>X_0\ldots X_{n-1}</math>, the random variable <math>Z=f(X_0,\ldots,X_{n-1})</math> is independent from any random vector <math>(X_{i_1}\ldots X_{i_k})</math> with <math>0\leq i_1<\ldots<i_k<n</math>.
 
== Results in cryptography ==
When used in a [[stream cipher]] as a combining function for [[linear feedback shift register]]s, a Boolean function with '''low-order''' correlation-immunity is '''more susceptible''' to a [[correlation attack]] than a function with correlation immunity of '''high order'''.
 
Siegenthaler showed that the correlation immunity ''m'' of a Boolean function of algebraic degree ''d'' of ''n'' variables satisfies ''m''&nbsp;+&nbsp;''d''&nbsp;≤&nbsp;''n''; for a given set of input variables, this means that a high algebraic degree will restrict the maximum possible correlation immunity. Furthermore, if the function is balanced then ''m''&nbsp;+&nbsp;''d''&nbsp;≤&nbsp;''n''&nbsp;&minus;&nbsp;1.<ref name="Siegenthaler">{{cite journal | author=T. Siegenthaler | title=Correlation-Immunity of Nonlinear Combining Functions for Cryptographic Applications | journal=IEEE Transactions on Information Theory | month=September | year=1984 | volume=30 | issue=5 | pages=776–780 | doi=10.1109/TIT.1984.1056949 }}</ref>
 
==References==
{{reflist}}
 
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[[Category:Cryptography]]
[[Category:Boolean algebra]]
 
 
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Latest revision as of 01:41, 6 December 2014

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