对基于RO的PUF在FPGA上的最佳逻辑组合进行研究,以最大限度地提高识别能力
Raúl Aparicio-Téllez1, Miguel Garcia-Bosque1, Guillermo Díez-Señorans1
1Group of Electronic Design (GDE), Aragón Institute of Engeneering Research (I3A), University of Zaragoza, 50009 Zaragoza, Spain.
Sensors (Basel, Switzerland)
|December 17, 2024
概括
物理非克隆功能 (PUF) 增强了无线传感器网络的安全性. 这项研究优化了基于环振荡器 (RO) 的PUF,使用通用的加洛伊环振荡器 (GenGAROs) 来提高识别能力和较低的错误率.
科学领域:
- 计算机工程 计算机工程
- 网络安全 网络安全
- 硬件安全 硬件安全
背景情况:
- 无线传感器网络 (WSN) 需要强大的安全性和隐私性,低功耗.
- 物理非克隆功能 (PUF) 通过利用制造变异来提供设备身份验证.
- 可识别性是PUF在WSN中的性能的一个关键属性.
研究的目的:
- 分析不同的振荡器架构,以构建有效的基于环振荡器的PUF (RO-PUF).
- 研究通用加洛伊环振荡器 (GenGAROs) 以优化PUF的识别能力.
- 在FPGA上开发高可识别性RO-PUF的设计方法.
主要方法:
- 研究了各种GenGARO架构,一种结合逻辑运算的新振荡器类型.
- 在Artix-FPGA上实现并分析了GenGARO-PUFs.
- 对逻辑门组合进行了详尽的研究,以优化PUF识别能力.
主要成果:
- 确定了特定的逻辑门和约束,大大提高了PUF的识别能力.
- 对于优化PUFs的100位响应,实现了10−11或更低的等错率 (EER).
- 开发了一种设计方法来生成高可识别性PUF原体.
结论:
- GenGAROs为设计安全和可识别的PUF提供了一个有前途的方法.
- 拟议的设计方法允许为WSNs创建强大的RO-PUF.
- 优化的GenGARO-PUF有助于提高低功耗WSN应用程序的安全性和隐私.
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