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    夏 辉, 贾智平, 张 峰, 李 新, 陈仁海, Edwin H. -M. Sha. AES专用指令处理器的研究与实现[J]. 计算机研究与发展, 2011, 48(8): 1554-1562.
    引用本文: 夏 辉, 贾智平, 张 峰, 李 新, 陈仁海, Edwin H. -M. Sha. AES专用指令处理器的研究与实现[J]. 计算机研究与发展, 2011, 48(8): 1554-1562.
    Xia Hui, Jia Zhiping, Zhang Feng, Li Xin, Chen Renhai, Edwin H.-M. Sha. The Research and Application of a Specific Instruction Processor for AES[J]. Journal of Computer Research and Development, 2011, 48(8): 1554-1562.
    Citation: Xia Hui, Jia Zhiping, Zhang Feng, Li Xin, Chen Renhai, Edwin H.-M. Sha. The Research and Application of a Specific Instruction Processor for AES[J]. Journal of Computer Research and Development, 2011, 48(8): 1554-1562.

    AES专用指令处理器的研究与实现

    The Research and Application of a Specific Instruction Processor for AES

    • 摘要: 随着加密算法在嵌入式可信计算领域的广泛应用,如何提高其执行效率成为研究的热点问题.高级加密标准 (AES) 凭借其在安全性、费用开销和可执行性等方面的内在优势,成为使用最为广泛的对称密钥加密算法.采用指令集架构 (ISA) 扩展优化的方法对AES算法进行指令扩展优化.基于电子系统级(ESL)方法设计流程,使用基于LISA语言的处理器生成工具构建了一个高效AES专用指令处理器(AES_ASIP)模型,最终实现于FPGA中.经过一系列的仿真和验证,对比ARM处理器指令集架构,实验结果显示AES_ASIP以增加少许硬件资源为代价,提高了算法58.4x%的执行效率并节省了47.4x%的指令代码存储空间.

       

      Abstract: Encryption algorithm has been used widely in the embedded trusted computing domain, so how to improve its execution efficiency has become an important issue. The Advanced Encryption Standard (AES) is a new encryption algorithm which has been widely adopted in the field of trust computation due to its high security, low cost and high enforceability. This paper employs a new instruction set architecture (ISA) extension method to optimize this algorithm. Based on the electronic system level (ESL) methodology, a commercial processor tool on the basis of language for instruction-set architectures (LISA) is used to construct an efficient AES application specific instruction processor (AES_ASIP) with the objective to improve the AES algorithm execution efficiency. Finally the AES_ASIP model is implemented in the FPGA (field-programmable gate array) platform. A series of simulations have been conducted to evaluate the performance of the AES_ASIP model. Experimental results show that our processor improves 58.4x% in the execution efficiency and saves 47.4x% in the code storage space compared with the ARM ISA processor.

       

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