Multiobjective Artificial Bee Colony Algorithm for S-box Optimization
Guanjie Qin, Xuemin Cheng, Jianshe Ma
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.309How to use a DOI?
- Artificial Bee Colony; Substitution box; Pareto optimization; Swarm intelligence
- 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.
- 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 -