Nasopharyngeal carcinoma (NPC) is one of the most common types of malignancies in Southeast Asia and southern China. 1 Despite significant advances in the screening and medical management of NPC, the prognosis for patients with locally advanced recurrence remains bleak. 2 Accordingly, there is an urgent need to determine the mechanism of NPC progression and identify new therapeutic targets for patients with NPC.
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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