首页> 外文会议>IEEE Computer Society Annual Symposium on VLSI >Selective Enhancement of Randomness at the Materials Level: Poly-Si Based Physical Unclonable Functions (PUFs)
【24h】

Selective Enhancement of Randomness at the Materials Level: Poly-Si Based Physical Unclonable Functions (PUFs)

机译:选择性提高材料水平的随机性:基于Poly-Si的物理不可渗透功能(PUFS)

获取原文

摘要

Physically Unclonable Functions (PUFs) were introduced over a decade ago for a variety of security applications. Silicon PUFs exploit uncontrollable random variations from manufacturing to generate unique and random signatures/responses. Existing research on PUFs has focused on either PUF design at the architectural level or optimization of lithography to increase sensitivity to random process variations. However, such sources of randomness may become limited during standard CMOS manufacturing as processes continue to mature especially with the advances in design for manufacturability. In this paper, poly-Si is proposed to improve PUF quality at the materials level. Compared to conventional single crystal Si (sc-Si), defects and trapped charges resulting from the random distribution of crystal grains and grain boundaries (GBs) in poly-Si offer considerable random variations. By using poly-Si only in the PUF region in devices, the randomness of the PUF can be enhanced without impacting other functional circuits and thus the IC yield can be maintained. RO-PUF simulation results based on a poly-Si field effect transistor (FET) model show that compared to sc-Si based PUFs, the reliability of poly-Si based PUFS can be improved from 89.18% to 98.82%.
机译:几十来,物理上不可分割的功能(PUFS)在各种安全应用程序中介绍。 Silicon Pufs利用了从制造业的无法控制的随机变体,以产生唯一和随机签名/响应。对PUF的现有研究专注于PUF设计在建筑水平或光刻优化,以提高对随机过程变化的敏感性。然而,这种随机性来源可能在标准CMOS制造期间受到限制,因为过程继续成熟,特别是在设计方面的进步方面进行可制造性。在本文中,提出了Poly-Si以提高材料水平的PUF质量。与传统的单晶Si(SC-Si)相比,由多Si中的晶粒和晶粒边界(GB)的随机分布产生的缺陷和捕获的电荷提供了相当大的随机变化。通过仅在设备中的PUF区域中使用Poly-Si,可以增强PUF的随机性而不会影响其他功能电路,因此可以保持IC产量。基于Poly-Si场效应晶体管(FET)模型的RO-PUF仿真结果表明,与基于SC-Si的PUF相比,聚-Si基PUF的可靠性可以从89.18%提高到98.82%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 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