Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Picek:2017:DSD:3075564.3079069, author = "Stjepan Picek and Luca Mariot and Bohan Yang and Domagoj Jakobovic and Nele Mentens", title = "Design of S-boxes Defined with Cellular Automata Rules", booktitle = "Proceedings of the Computing Frontiers Conference, CF 2017", year = "2017", pages = "409--414", address = "Siena, Italy", publisher = "ACM", keywords = "genetic algorithms, genetic programming, Cellular automata, Implementation, Lightweight cryptography, S-boxes", isbn13 = "978-1-4503-4487-6", URL = "http://www.human-competitive.org/sites/default/files/picek-paper-2-acm.pdf", URL = "http://www.human-competitive.org/sites/default/files/picek-text.txt", DOI = "doi:10.1145/3075564.3079069", acmid = "3079069", size = "6 pages", abstract = "The aim of this paper is to find cellular automata (CA) rules that are used to describe S-boxes with good cryptographic properties and low implementation cost. Up to now, CA rules have been used in several ciphers to define an S-box, but in all those ciphers, the same CA rule is used. This CA rule is best known as the one defining the Keccak x transformation. Since there exists no straightforward method for constructing CA rules that define S-boxes with good cryptographic/implementation properties, we use a special kind of heuristics for that -- Genetic Programming (GP). Although it is not possible to theoretically prove the efficiency of such a method, our experimental results show that GP is able to find a large number of CA rules that define good S-boxes in a relatively easy way. We focus on the 4 x 4 and 5 x 5 sizes and we implement the S-boxes in hardware to examine implementation properties like latency, area, and power. Particularly interesting is the internal encoding of the solutions in the considered heuristics using combinatorial circuits; this makes it easy to approximate S-box implementation properties like latency and area a priori.", notes = "Entered 2017 Humies http://www.human-competitive.org/awards", }

Genetic Programming entries for Stjepan Picek Luca Mariot Bohan Yang Domagoj Jakobovic Nele Mentens