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Generating highly nonlinear Boolean functions using a genetic algorithm

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2 Author(s)
Dimovski, A. ; Fac. of Natural Sci. & Math., Cyril & Methodius Univ., Skopje, Macedonia ; Gligoroski, D.

In this paper a few algorithms are presented which assist with finding Boolean functions with good cryptographic properties, especially with high nonlinearity. First, a basic hill-climbing algorithm is described which improve the nonlinearity of a Boolean function. Then this algorithm is modified to incorporate a genetic algorithm. It is shown that these new search techniques are extremely powerful when compared to traditional random search techniques. Experimental results successfully prove this statement.

Published in:

Telecommunications in Modern Satellite, Cable and Broadcasting Service, 2003. TELSIKS 2003. 6th International Conference on  (Volume:2 )

Date of Conference:

1-3 Oct. 2003

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