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相关概念视频

Random Sampling Method01:09

Random Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
Semiconductors01:22

Semiconductors

There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
Carrier Generation and Recombination01:22

Carrier Generation and Recombination

Carrier generation is the process by which electron-hole pairs (EHPs) are created within the semiconductor. In direct-bandgap semiconductors, such as gallium arsenide (GaAs), this occurs efficiently when energy absorption prompts valence electrons to leap into the conduction band, leaving behind holes.
This process is given by the generation rate G and is efficient due to the conservation of momentum between the valence band maximum and conduction band minimum.
Indirect generation involves an...

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相关实验视频

Updated: Jul 15, 2026

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

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一个轻量级和高产量互补的金属氧化物半导体真随机数发生器,具有轻量级的光子后处理.

Chi Trung Ngo1, Hyun Woo Ko1, Ji Woo Choi1

  • 1School of Electrical Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea.

Sensors (Basel, Switzerland)
|December 17, 2024
PubMed
概括

本研究介绍了一种使用环振荡器和轻量级光子哈希函数后处理的新型真随机数发生器 (TRNG). 这种方法显著提高了通过NIST随机性测试的TRNG数量,同时减少了功率和面积.

关键词:
这就是为什么物联网是物联网物联网.轻量级密码学 轻量级密码学光子光子是一种光子.真正的随机数发生器

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Last Updated: Jul 15, 2026

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科学领域:

  • 集成电路设计 集成电路设计
  • 硬件安全 硬件安全
  • 密码学 密码学 密码学 密码学

背景情况:

  • 真正随机数生成器 (TRNG) 对于安全的加密应用至关重要.
  • 现有的TRNG架构在满足严格的随机性测试要求方面经常面临挑战.
  • 后处理对于提高TRNGs生成的随机位的质量至关重要.

研究的目的:

  • 提出一种基于定制环振荡器 (RO) 的新型TRNG架构.
  • 为了研究轻量级光子哈希函数对TRNG输出后处理的有效性.
  • 评估集成的TRNG设计的性能,面积和功耗.

主要方法:

  • 一个定制的缺电环振荡器 (RO) 被设计为产生动噪声.
  • 使用波量转换器从RO的动中提取随机输出.
  • 一个轻量级的光子哈希函数被实施为TRNG的后处理算法.
  • TRNG是使用28纳米CMOS工艺制造的,用于性能评估.

主要成果:

  • 最初的TRNG样本在通过NIST SP 800-22随机性测试方面存在局限性.
  • 应用光子哈希函数后处理显著提高了50%的通过率.
  • 综合设计实现了0.0142Mbps的吞吐量,功耗为31.12mW,占用了16498μm2.

结论:

  • 拟议的TRNG架构与轻量级的光子后处理相结合,为生成高质量的随机数字提供了可行的解决方案.
  • 与传统的DRBG后处理相比,这种方法显示了面积 (5x) 和功耗 (65%) 的大幅减少.
  • 这些发现突显了轻量级加密原始体在高效硬件TRNG设计方面的潜力.