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基于静态随机存储器的可复制品检测读取。

SRAM-Based PUF Readouts.

机构信息

Univ. Grenoble Alpes, CNRS, Grenoble INP, TIMA, 38000, Grenoble, France.

Electronic Technology Department, University Carlos III of Madrid, Madrid, Spain.

出版信息

Sci Data. 2023 May 27;10(1):333. doi: 10.1038/s41597-023-02225-9.

Abstract

Large-scale parameter characterization of Physical Unclonable Functions (PUFs) is of paramount importance in order to assess the quality and thus the suitability of such PUFs which would then be developed as an industrial-grade solution for hardware root of trust. Carrying out a proper characterization requires a large number of devices that need to be repeatedly sampled at various conditions. These prerequisites make PUF characterization process a very time-consuming and expensive task. Our work presents a dataset for the study of SRAM-based PUFs on microcontrollers; it includes full SRAM readouts along with internal voltage and temperature sensors of 84 microcontrollers of STM32 type. Data has been gathered with a custom-made and open platform designed for the automatic acquisition of SRAM readouts of such devices. This platform also provides possibilities of experimenting aging and reliability properties.

摘要

为了评估物理不可克隆函数(PUF)的质量,从而确定其是否适合作为硬件信任根的工业级解决方案,对其进行大规模参数特征描述至关重要。要进行适当的特征描述,需要大量的设备,并且需要在各种条件下重复进行采样。这些前提条件使得 PUF 特征描述过程非常耗时且昂贵。我们的工作提出了一个用于研究基于 SRAM 的微控制器 PUF 的数据集;它包括 84 个 STM32 型微控制器的完整 SRAM 读数以及内部电压和温度传感器。数据是使用专门设计的开放式平台收集的,该平台用于自动获取此类设备的 SRAM 读数。该平台还提供了实验老化和可靠性特性的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d52d/10224988/c34dce9e6cc7/41597_2023_2225_Fig1_HTML.jpg

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