弹性控制策略和攻击检测在DoS攻击下的智能车辆的排队上
Hassan Mokari1, Elnaz Firouzmand1, Iman Sharifi1
1Electrical Engineering, Department of Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.
ISA transactions
|November 25, 2023
概括
本研究引入了一种新方法,用于检测和测量智能车辆中队中拒绝服务攻击的新方法. 提出了一种弹性控制策略,以维持安全导航,尽管存在网络威胁.
科学领域:
- 智能运输系统 智能运输系统
- 自动驾驶汽车的网络安全
- 控制理论 控制理论
背景情况:
- 排队中的智能车辆依靠通信进行导航.
- 拒绝服务 (DoS) 攻击通过破坏通信和数据完整性来威胁中队的稳定性.
- 在网络攻击中确保车辆安全是一个关键的挑战.
研究的目的:
- 开发一种强大的方法来检测和测量车辆排中的DoS攻击.
- 为恢复被攻击的车辆提出一个有弹性的控制战略.
- 在网络威胁下确保智能汽车车队的安全和共识.
主要方法:
- 一个DoS检测和测量算法使用两个增量计数器来识别时间变化的延迟.
- 一个基于开关系统的新型车辆弹性控制策略.
- 模拟和案例研究以验证拟议的算法.
主要成果:
- 有效地检测和测量DoS攻击,以时间变化的延迟为模式.
- 成功地将被攻击的特工恢复到领导者和追随者的共识.
- 拟议的算法在维持中队稳定性方面表现出的能力.
结论:
- 拟议的算法有效地解决了智能车辆中队中的DoS攻击.
- 弹性控制策略确保了安全性,并保持了共识.
- 这项工作有助于智能交通系统的安全性和可靠性.
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