轻量级密码的非线性/线性指令集扩展

Susanne Engels, E. Kavun, C. Paar, Tolga Yalçin, Hristina Mihajloska
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引用次数: 7

摘要

今天的现代密码学主要涉及保护轻量级(和普及)设备。为此,已经提出了几种轻量级加密算法。到目前为止,文献主要关注硬件效率,而关于软件的轻量级几乎没有得到解决。然而,很大比例的轻量级密码将在嵌入式cpu上实现——不支持加密操作。与此同时,许多轻量级密码基于对硬件友好但在软件上相当昂贵的操作。例如,在硬件中基本上不会产生成本的位排列需要大量的CPU周期和/或软件中的查找表。类似地,s - box通常在软件中需要相对较大的查找表。在这项工作中,我们试图通过引入非线性/线性指令集扩展来解决在小型cpu上有效实现密码的开放问题,我们称之为NLU,能够实现以代数范式(ANF)表示的非线性运算和以二进制“矩阵乘法和加法”形式表示的线性运算。所提出的NLU是针对嵌入式微控制器的,因此它是8位宽。然而,它的模块化架构允许它在16位、32位、64位甚至4位cpu中使用。我们进一步提出了在标准密码算法的实现中使用NLU的例子,以展示其编码优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Non-Linear/Linear Instruction Set Extension for Lightweight Ciphers
Modern cryptography today is substantially involved with securing lightweight (and pervasive) devices. For this purpose, several lightweight cryptographic algorithms have already been proposed. Up to now, the literature has focused on hardware-efficiency while lightweight with respect to software has barely been addressed. However, a large percentage of lightweight ciphers will be implemented on embedded CPUs- without support for cryptographic operations. In parallel, many lightweight ciphers are based on operations which are hardware-friendly but quite costly in software. For instance, bit permutations that accrue essentially no costs in hardware require a non-trivial number of CPU cycles and/or lookup tables in software. Similarly, S-Boxes often require relatively large lookup tables in software. In this work, we try to address the open question of efficient cipher implementations on small CPUs by introducing a non-linear/linear instruction set extension, to which we refer to as NLU, capable of implementing on-linear operations expressed in their algebraic normal form(ANF) and linear operations expressed in binary "matrix multiply-and-add" form. The proposed NLU is targeted for embedded micro controllers and it is therefore 8-bit wide. However, its modular architecture allows it to be used in16, 32, 64 and even 4-bit CPUs. We furthermore present examples of the use of NLU in the implementation of standard cryptographic algorithms in order to demonstrate its coding advantage.
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