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相关概念视频

Non-ohmic Devices00:51

Non-ohmic Devices

In most substances, the current flow is proportional to the voltage applied to it. A simple relationship between the values of current, voltage, and resistance is known as Ohm's law. Nonohmic devices do not exhibit a linear relationship between voltage and current. One such device is the semiconducting circuit element known as a diode. A diode is a circuit device that allows current flow in only one direction.
Consider a simple circuit consisting of a battery, a diode, and a resistor. A diode...
Design Example: Automobile Ignition System01:14

Design Example: Automobile Ignition System

The automobile's ignition system plays a vital role by ensuring the timely ignition of the fuel-air mixture in each cylinder. This ignition is facilitated by a spark plug, which is composed of two electrodes separated by an air gap. A spark forms across this air gap when a substantial voltage is generated between the electrodes, leading to the ignition of the fuel.
One can generate a large voltage using a car battery of 12 volts with the help of inductors. Inductors are known for opposing rapid...

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Updated: Jun 24, 2026

One Dimensional Turing-Like Handshake Test for Motor Intelligence
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基于硬件加速的隐私意识认证方案,用于使用物理非可克隆功能的车辆互联网.

Ujunwa Madububa Mbachu1, Rabeea Fatima1, Ahmed Sherif1

  • 1School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS 39406, USA.

Sensors (Basel, Switzerland)
|March 17, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了自动驾驶汽车在汽车互联网中的安全认证方法,使用物理不可克隆的功能和KNN加密. 硬件加速方案可以提高隐私和安全性,以最小的资源使用来抵御网络攻击.

关键词:
汽车的互联网 (IoV)认证的真实性 认证的真实性自动驾驶汽车 (AV) 是一种自动驾驶汽车.物理上的不可克隆的功能.

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科学领域:

  • 计算机科学 计算机科学
  • 网络安全 网络安全
  • 运输工程 运输工程

背景情况:

  • 智能城市利用汽车互联网 (IoV) 实现先进的城市管理和交通效率.
  • IoV使无线通信能够进行交通数据交换,提高了安全性,但引发了用户隐私方面的担忧.
  • 自动驾驶汽车 (AV) 的身份验证对于安全的 IoV 操作至关重要.

研究的目的:

  • 在 IoV 框架内为 AV 提出一个创新的保护隐私的认证方案.
  • 增强针对身份欺诈和中间人攻击等网络攻击的安全性.
  • 评估该计划的性能,安全性和硬件资源利用率.

主要方法:

  • 开发了一种使用物理不可克隆函数 (PUF) 来安全生成密钥的新型身份验证方案.
  • 集成了k-最近邻居 (KNN) 加密技术与多重多重搜索功能.
  • 在Nexys A7-100T FPGA板上使用硬件加速实现该方案,以实现高效的处理.

主要成果:

  • 拟议的方案有效地验证了自动驾驶系统,同时保护用户隐私并保护其免受网络威胁.
  • 加密时间随着AV ID大小的非线性增加 (100-800位的5μs到39μs).
  • 搜索时间随着AV ID大小的线性增加 (在100-800位的1μs到8μs以下),硬件资源利用率最小 (例如25%的DSP,22.2%的BRAM).

结论:

  • 基于PUF的身份验证方案为IoV系统提供了一个强大的,保护隐私的解决方案.
  • 硬件加速确保高效的性能,通信和计算开销较低.
  • 该计划成功地平衡了自动驾驶汽车身份验证的安全性,隐私和资源效率.