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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/bfb003...
Part of book or chapter of book . 1996 . Peer-reviewed
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DBLP
Conference object . 2017
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Low order approximation of cipher functions

Authors: William Millan;

Low order approximation of cipher functions

Abstract

We present an algorithm allowing the rapid identification of low order nonlinear Boolean functions. An extension of the method allowing the identification of good low order approximations (if they exist) is then described. We discuss the application of the method to cryptanalysis of black-box cipher functions. We present results indicating that the method can be expected to perform better than random search in locating good low order approximating Boolean functions. An expression for the effectiveness of the attack is derived, and it is shown that highly nonlinear balanced Boolean functions constructed as modified low order bent functions are particularly vulnerable to the attack. The required tradeoff in resisting both linear and quadratic approximation is also discussed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Average
Top 10%
Average
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