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一个基于memristor的统一PUF和TRNG芯片,具有用于高级边缘安全的隐藏能力
Xueqi Li1, Bohan Lin1, Bin Gao1
1School of Integrated Circuits, Beijing Advanced Innovation Center for Integrated Circuits, Tsinghua University, Beijing, 100084, China.
Science advances
|March 26, 2025
概括
本研究介绍了使用memristor技术实现物理非克隆函数 (PUF) 和真随机数生成器 (TRNG) 的统一芯片. 该设计为物联网 (IoT) 设备提供了增强的安全性和效率.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 材料科学 材料科学 材料科学
背景情况:
- 物联网 (IoT) 的安全性依赖于诸如物理不可克隆函数 (PUF) 和真随机数生成器 (TRNG) 等原始函数,用于密钥生成和随机位流.
- 物联网设备的资源限制需要为PUF和TRNG提供综合解决方案,理想情况下是共享源和提取机制.
研究的目的:
- 开发和描述一个统一的PUF和TRNG芯片,利用memristor技术增强物联网安全性.
- 通过一种新的隐藏方法来应对PUF数据泄露的挑战.
主要方法:
- 一个28纳米的嵌入式memristor被用作核心组件,利用其内在的形成条件并读取电流变化作为源.
- 一个紧的芯片内抽取器被设计和实施,以实现高吞吐量.
- 开发了一种隐藏技术,以在置状态下保护PUF数据,并允许按需恢复.
主要成果:
- 统一芯片实现了每秒41.7兆比特的高吞吐量,最小的表面积为0.291 MF2.
- 基于memristor的设计在随机性,可靠性,寿命和稳定性方面表现出色.
- 与基于补充金属氧化物半导体 (CMOS) 的设计相比,在认证任务中观察到3.82倍的吞吐量改善.
结论:
- 开发的基于memristor的统一PUF和TRNG芯片为安全和高效的物联网设备提供了有前途的解决方案.
- 综合设计和隐藏方法有效地提高了安全性,同时保持了高性能和低资源利用率.
- 这项工作促进了安全原始体在资源有限的物联网环境中的集成.
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