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Evolving S-boxes based on cellular automata with genetic programming

Published:15 July 2017Publication History

ABSTRACT

The design of cryptographically strong Substitution Boxes (S-boxes) is an interesting problem from both a cryptographic perspective as well as the combinatorial optimization one. Here we introduce the concept of evolving cellular automata rules that can be then translated into S-boxes. With it, we are able to find optimal S-boxes for sizes from 4 × 4 up to 7 × 7. As far as we know, this is the first time a heuristic approach is able to find optimal S-boxes for sizes larger than 4.

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        cover image ACM Conferences
        GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion
        July 2017
        1934 pages
        ISBN:9781450349390
        DOI:10.1145/3067695

        Copyright © 2017 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 15 July 2017

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