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相关概念视频

Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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相关实验视频

Updated: Jan 16, 2026

Patterning via Optical Saturable Transitions - Fabrication and Characterization
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Patterning via Optical Saturable Transitions - Fabrication and Characterization

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基于对等级加密协议的随机表面散射的多层光学物理非克隆功能.

Jeong Jin Kim1, Min Seong Kim1, Gil Ju Lee1

  • 1School of Electrical and Electronics Engineering, Pusan National University, 2, Busandaehak-ro 63 beon-gil, Geumjeong-gu, Busan, 46241, Republic of Korea.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
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概括
此摘要是机器生成的。

这项研究引入了可适应的光学物理不可克隆功能 (PUF) 以提高安全性. 通过控制斑点模式,可以生成多级密钥,用于诸如物联网认证和图像加密等多功能应用.

关键词:
硬件安全 硬件安全 硬件安全图像加密 图像加密激光光斑的光斑是什么意思多级别身份验证的多级别身份验证物理上的不可克隆的功能.

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Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy
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Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy

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相关实验视频

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High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
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科学领域:

  • 光学和光子学 在光学和光子学.
  • 密码学 密码学 密码学 密码学
  • 信息安全 信息安全

背景情况:

  • 传统的光学物理不可克隆函数 (PUF) 提供有限的加密灵活性,由于刚性密钥空间.
  • 现代网络需要可适应的安全原体,可以从资源有限的设备扩展到高安全性系统.

研究的目的:

  • 开发一种新的光学PUF平台,用于多级别的密钥生成,具有层次可控的随机性.
  • 为了证明这个平台对高级安全应用程序的可行性,包括层次认证和多阶段图像加密.

主要方法:

  • 基于激光光斑特征的等级可控随机性源的实施.
  • 调节光斑大小,通过调整照明直径来生成64,256和1,024位的键.
  • 对生成的密钥进行性能评估,以确定其统一性,独特性,可重复性和随机性.

主要成果:

  • 成功生成具有优异性能指标的多级键 (64,256,1024位).
  • 展示两种实际应用:物联网和敏感数据的层次认证系统和多阶段图像加密算法.
  • 拟议的光学PUF平台与传统加密方法相比,具有卓越的全密性能.

结论:

  • 开发的光学PUF平台为下一代安全系统提供了强大而可扩展的基础.
  • 光学PUF中的等级可控随机性使可适应性安全解决方案适用于各种应用.
  • 这项工作为光学PUF建立了新的范式,提高了安全可扩展性和性能.