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相关概念视频

Norton's Theorem01:14

Norton's Theorem

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Norton's theorem is a fundamental principle stating that a linear two-terminal circuit can be substituted with an equivalent circuit, which comprises a current source (ⅠN) in parallel with a resistor (RN). Here, ⅠN represents the short-circuit current flowing through the terminals, and RN stands for the input or equivalent resistance at the terminals when all independent sources are deactivated. This implies that the circuit illustrated in Figure (a) can be exchanged with the one depicted...
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Principle of Virtual Work: Problem Solving01:13

Principle of Virtual Work: Problem Solving

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The principle of virtual work is an essential concept in the field of mechanics and engineering. This is used to solve problems related to the equilibrium of a structure or system. It is based on the assumption that if a system is in equilibrium, the work done by all the forces during a virtual displacement is zero. This principle is applied by considering virtual displacements of the system and the corresponding work done by internal and external forces.
To apply the principle of virtual work,...
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Neural Circuits01:25

Neural Circuits

2.6K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
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相关实验视频

通过神经元关键性分析和轻量级加密来增强虚拟物理无法克隆的功能安全性.

Raviha Khan1, Hani Saleh2, Brahim Mefgouda3

  • 1Center for Cyber-Physical Systems - System on Chip Lab and Computer and Information Engineering Department, Khalifa University, Abu Dhabi, UAE.

Scientific reports
|October 17, 2025
PubMed
概括
此摘要是机器生成的。

这项研究通过使用一种新的加密框架来增强虚拟物理无法克隆功能的 (VPUF) 安全性. 它实现了高附加安全性与最小的延迟,保护物联网设备免受逆向工程.

关键词:
物联网安全物联网安全物联网安全神经网络加密 神经网络加密神经元剥离是神经元的剥离.在PUF的基础上,PUF是雷利的色正在消失.这是一个VPUFVPUF.这是一个XOR加密.

相关实验视频

科学领域:

  • 计算机科学 计算机科学
  • 网络安全 网络安全
  • 硬件安全 硬件安全

背景情况:

  • 物理非克隆功能 (PUF) 提供基于硬件的设备认证,使用制造变量.
  • 传统的PUF面临着硬件开销,老化和易受攻击等局限性.
  • 虚拟PUF (VPUF) 作为一种基于软件的替代方案,用于物联网环境中使用神经网络.

研究的目的:

  • 加强虚拟物理不可克隆函数 (VPUFs) 对物理提取和逆向工程的安全性.
  • 为VPUF引入一个轻量级,神经元关键性意识的加密框架.
  • 为了保持VPUF的性能和准确性,同时提高安全性.

主要方法:

  • 开发了一种轻量级的加密框架,专注于通过剥离分析识别的关键神经元.
  • 应用了基于XOR的选择性加密来最大限度地降低计算开销.
  • 集成了一个使用雷利衰减 (杰克模型) 的动态密钥生成机制.

主要成果:

  • 在VPUF模型提取和逆向工程方面实现了高达99.4%的附加安全性.
  • 证明了微秒级延迟,保持了认证准确性.
  • 成功识别并利用关键神经元进行高效的加密.

结论:

  • 拟议的神经元关键性意识加密框架显著提高了VPUF的安全性.
  • 这种方法为保护物联网设备提供了可扩展和高效的解决方案.
  • 该方法平衡了强大的安全性与最小的性能影响.