信任 - IoV:一个开放的基准数据集,用于车辆互联网中的信任管理
Yingxun Wang1, Adnan Mahmood2, Xiang Wang1
1Faculty of Computer and Information Engineering, Qilu Institute of Technology, Jinan, 250200, Shandong, PR China.
Data in brief
|March 4, 2026
概括
本研究引入了用于车辆互联网 (IoV) 的新数据集,以检测基于信任的攻击. 它包括可信赖和恶意的车辆,以提高IoV网络安全性.
科学领域:
- 网络安全 网络安全
- 网络安全 网络安全
- 汽车的互联网 (IoV)
背景情况:
- 人工智能和信息通信技术的进步增强了汽车互联网 (IoV) 能力.
- 确保对内部攻击的 IoV 网络安全仍然是一个重大挑战.
- 目前正在探索信任机制,以减轻 IoV 网络中的内部威胁.
研究的目的:
- 为了解决缺乏公开可用的基于信任的IoV数据集.
- 引入一套新型数据集,专门用于检测基于信任的攻击在 IoV.
- 促进对IOV系统的基于信任的安全性的研究.
主要方法:
- 开发一种新的基于信任的IoV数据集.
- 包括96辆车辆:可靠和聪明的恶意.
- 模拟了1,048,576次交互,使用了四个信任参数:交互体验,频率,及时性和消息质量.
主要成果:
- 该数据集包括可靠和恶意的工具,能够进行开启,自我推广和机会攻击.
- 基于互动经验,频率,及时性和消息质量的信任量化.
- 建立第一个基于信任的IoV数据集,其中包含基于信任的攻击信息.
结论:
- 这一新型数据集为推进基于信任的IoV安全研究提供了基础.
- 它可以开发和评估用于检测基于信任的攻击的新方法.
- 这种资源对于提高未来 IoV 网络的安全性和可靠性至关重要.
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