Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Multiobjective Artificial Bee Colony Algorithm for S-box Optimization

Authors
Guanjie Qin, Xuemin Cheng, Jianshe Ma
Corresponding Author
Guanjie Qin
Available Online April 2015.
DOI
https://doi.org/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.
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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.309How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/amcce-15.2015.309
ID  - Qin2015/04
ER  -