Multiobjective Artificial Bee Colony Algorithm for S-box Optimization

DOI

10.2991/amcce-15.2015.309How to use a DOI?

Keywords

Artificial Bee Colony; Substitution box; Pareto optimization; Swarm intelligence

Abstract

Substitution box (S-box) is an important nonlinear component in block cipher algorithms. Evaluating the cryptographic properties of an S-box requires attention to criteria such as nonlinearity, differential properties, and diffusion properties. In this paper, Artificial Bee Colony algorithm was introduced for global optimization of random S-boxes, using Pareto improvement to identify highly profitable solutions. The experimental results demonstrated the effectiveness of the proposed algorithm, which simultaneously optimized their nonlinearity, differential properties, and diffusion properties. The proposed model thus offers a new tool for the optimization of random S-boxes.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guanjie Qin
AU  - Xuemin Cheng
AU  - Jianshe Ma
PY  - 2015/04
DA  - 2015/04
TI  - Multiobjective Artificial Bee Colony Algorithm for S-box Optimization
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.309
DO  - 10.2991/amcce-15.2015.309
ID  - Qin2015/04
ER  -