Title :
Utilizing Evolutionary Computation Methods for the Design of S-Boxes
Author :
Laskari, Elena C. ; Meletiou, Gerasimos C. ; Vrahatis, Michael N.
Author_Institution :
Dept. of Math., Patras Univ.
Abstract :
Among the most important components of many contemporary ciphers are the substitution boxes (S-boxes) and a great amount of research is devoted to their study. In this paper, a new methodology for designing strong S-boxes is proposed and two evolutionary computation methods, the particle swarm optimization and the differential evolution algorithm are employed to tackle the problem at hand. The obtained results are promising and indicate that this novel approach is effective
Keywords :
cryptography; evolutionary computation; particle swarm optimisation; S-box design; ciphers; differential evolution; evolutionary computation; particle swarm optimization; substitution boxes; Algorithm design and analysis; Ant colony optimization; Autocorrelation; Boolean functions; Computational intelligence; Cryptography; Design methodology; Evolutionary computation; Genetic algorithms; Particle swarm optimization;
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
DOI :
10.1109/ICCIAS.2006.295267
