首页> 外文期刊>IEEE transactions on very large scale integration (VLSI) systems >Efficient Register Renaming Architectures for 8-bit AES Datapath at 0.55 pJ/bit in 16-nm FinFET
【24h】

Efficient Register Renaming Architectures for 8-bit AES Datapath at 0.55 pJ/bit in 16-nm FinFET

机译:高效寄存器重命名架构,用于8位AES DataPath,在16-NM FinFET中为0.55 PJ /位

获取原文
获取原文并翻译 | 示例

摘要

Small-footprint implementations of the advanced encryption standard (AES) algorithm are of interest in resource-constrained applications like Internet of Things (IoT). Symmetries in AES allow the datapath to be scaled down to the S-Box width of 8 bits, but the ShiftRows operation leads to a potential data hazard that must be avoided. The common method for resolving the ShiftRows hazard wastes power by moving data through a sequence of pipelined registers. We present in this article a novel 8-bit AES architecture that solves data movement inefficiencies by renaming registers and saves clock power with a single state update per AES round. We then extend register renaming to include microarchitectural randomization to mitigate susceptibility to side-channel attacks, which are a concern especially for low power implementations of AES. We fabricate and evaluate our designs in a commercial 16-nm FinFET technology. Testchip measurements show that the register renaming architecture encrypts data at 0.55 pJ/bit at nominal voltage, a 2.2x improvement over a state-of-the-art reference 8-bit design implemented in the same technology. Side-channel evaluation indicates that the randomized variant of register renaming significantly reduces vulnerability to differential power analysis (DPA).
机译:高级加密标准(AES)算法的小型占地面积在资源受限应用中感兴趣,如物联网(物联网)。 AES中的对称性允许DataPath将DataPath缩放到8位的S盒宽度,但Shiftrows操作导致必须避免的潜在数据危险。解决Shiftrows危险的常用方法通过通过一系列流水线寄存器移动数据来浪费功率。我们在本文中展示了一种新的8位AES架构,其通过重命名寄存器来解决数据移动低效率,并通过每个AES的单个状态更新节省时钟功率。然后,我们将寄存器重命名扩展以包括微架构随机化,以减轻对侧通道攻击的敏感性,这是尤其是AES低功耗的担忧。我们在商业16-NM FinFET技术中制作和评估我们的设计。 TestChip测量表明,寄存器重命名架构在标称电压下以0.55 PJ /位加密数据,在相同技术中实现的最先进的参考8位设计的2.2倍改善。侧通道评估表明寄存器重命名的随机变体显着降低了差分功率分析(DPA)的脆弱性。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号