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相关概念视频

Photoelectric Effect02:26

Photoelectric Effect

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When light of a particular wavelength strikes a metal surface, electrons are emitted. This is called the photoelectric effect. The minimum frequency of light that can cause such emission of electrons is called the threshold frequency, which is specific to the metal. Light with a frequency lower than the threshold frequency, even if it is of high intensity, cannot initiate the emission of electrons. However, when the frequency is higher than the threshold value, the number of electrons ejected...
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The Hall Effect01:30

The Hall Effect

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Edwin H. Hall, in the year 1879, devised an experiment that could be used to identify the polarity of the predominant charge carriers in a conducting material. From a historical perspective, this experiment was the first to demonstrate that the charge carriers in most metals are negative.
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相关实验视频

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Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
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Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

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使用光子自旋霍尔效应的物理非克隆功能.

Divyanshu Divyanshu1, Amit Kumar Goyal2, Yehia Massoud3

  • 1Innovative Technologies Laboratories (ITL), King Abdullah University of Science and Technology (KAUST), 23955, Thuwal, Saudi Arabia. divyanshu.divyanshu@kaust.edu.sa.

Scientific reports
|June 22, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的硬件安全方法,使用光子旋转霍尔效应 (PSHE) 来创建独特的物理非克隆功能 (PUF). 这些新的PUF代币显示出对机器学习攻击的强有力的弹性.

关键词:
光子晶体 (PhC) 是一种光子自旋霍尔效应 (PSHE)物理不可克隆的函数 (PUFs)

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A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
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科学领域:

  • 光电学是指光电子产品.
  • 量子光学是一种量子光学.
  • 硬件安全 硬件安全

背景情况:

  • 物理非克隆功能 (PUF) 对于硬件安全至关重要,它依赖于独特的设备变体进行身份验证.
  • 现有的PUF设计在实现高独特性和对复杂攻击的强度方面面临挑战.
  • 光子自旋霍尔效应 (PSHE) 已成为先进传感和计算应用的有希望的现象.

研究的目的:

  • 通过利用表面波辅助的光子自旋霍尔效应 (PSHE) 来开发一种新的物理非克隆功能 (PUF).
  • 评估拟议的基于PSHE的PUF代币对噪音和机器学习攻击的性能和安全性.
  • 探索PSHE在扩大硬件安全解决方案设计空间方面的潜力.

主要方法:

  • 使用表面波诱导的光子自旋霍尔效应 (PSHE) 构建PUF设备.
  • 使用诸如哈明间距离和独特响应比例等指标来描述PUF性能.
  • 对使用随机搜索攻击策略的多层感知子 (MLP) 回归模型进行PUF安全性评估.

主要成果:

  • 拟议的PUF代币实现了47.50%的哈明间距离和62.5%的平均唯一响应比例.
  • PUF在对抗模拟噪声方面表现出强性,平均成功攻击预测准确率低至9.70%.
  • 该PSHE效应赋予高非线性和对过程变异的敏感性,增强安全性和非克隆性.

结论:

  • 新型基于PSHE的PUF代币为安全硬件认证提供了一种有前途的方法.
  • 该设计对噪音和基于先进机器学习的攻击具有出色的弹性.
  • 这项工作突出了光子现象在推进硬件安全领域的潜力.