Abstract
Substitution boxes (S-boxes) are important components in many modern-day symmetric key ciphers. Their study has attracted a great deal of attention over many years. The emergence of a variety of cryptosystem attacks has shown that substitutions must be designed with great care. Some general criteria such as high non-linearity and low autocorrelation have been 14 proposed (providing some protection against attacks such as linear cryptanalysis and differential cryptanalysis). The design of appropriate S-boxes is a difficult task; several criteria must be traded off and the design space is huge. There has been little application of evolutionary search to the development of S-boxes. In this paper we show how a cost function that has found excellent single-output Boolean functions can be generalised to provide improved results for small S-boxes.
Original language | English |
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Pages (from-to) | 219-231 |
Number of pages | 13 |
Journal | New Generation Computing |
Volume | 23 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2005 |
Bibliographical note
Query date: 14/01/2011Keywords
- cryptography
- s-boxes
- nonlinearity
- autocorrelation
- simulated annealing
- BOOLEAN FUNCTIONS