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An automated S-box optimization based on composite field arithmetic

机译:基于复合场算法的自动S-box优化

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In recent years, the information technology world have faced broad security issues due to the large amount of data flowing over the network. HW security solutions are often preferred in contexts where an high level of performance is required. Multiple HW implementation of the Advanced Encryption Standard can be found in literature. Although several optimization methods based on optimum composite field isomorphic mappings have been shown and evaluated, there is a lack of results coming from automatic synthesis tools. This work presents an optimization of the AES core using synthesis tools that exploits composite field arithmetic for the SBox module implementation. The Parametric syntheses are repeated for both FPGA technology, using Xilinx Vivado on a Xilinx Zynq 7000 board, and for Standard Cell technology, using Synopsys Design Compiler and 40nm CMOS Standard Cell libraries. Results highlight the discrepancies between analytic and synthesized optimum parameters.
机译:近年来,由于网络上有大量数据流,信息技术世界面临着广泛的安全问题。在需要高水平性能的情况下,通常首选硬件安全解决方案。可以在文献中找到高级加密标准的多种硬件实现。尽管已显示和评估了几种基于最佳复合场同构映射的优化方法,但缺乏自动合成工具的结果。这项工作使用综合工具对AES内核进行了优化,该综合工具为SBox模块实现开发了复合场算法。对于FPGA技术(在Xilinx Zynq 7000板上使用Xilinx Vivado)以及对于标准单元技术(使用Synopsys Design编译器和40nm CMOS标准单元库),都重复进行参数合成。结果突出了分析的最佳参数与综合的最佳参数之间的差异。

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