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在DoS攻击下,通过控制器动态线性化实现弹性分布式无模型自适应性交通信号控制.

Ye Ren1, Haoyang Sun1, Ting Lei2

  • 1School of Electrical and Control Engineering, North China University of Technology, Beijing, China.

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此摘要是机器生成的。

本研究介绍了一种弹性交通信号控制系统 (CDL-DMFAC),该系统使用多代理模型来减少交通延误和队列长度. 适应性策略有效应对网络安全威胁,如拒绝服务攻击.

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科学领域:

  • 智能运输系统 智能运输系统
  • 网络安全 网络安全
  • 控制理论 控制理论

背景情况:

  • 交通信号控制面临着日益复杂和网络安全挑战.
  • 不断增长的交通需求需要强大而适应性的控制策略.
  • 现有系统容易受到通信中断和网络攻击的影响.

研究的目的:

  • 提出一个有弹性的分布式无模型自适应交通信号控制策略 (CDL-DMFAC).
  • 在网络安全威胁下增强信号控制稳定性和性能.
  • 为了减轻拒绝服务 (DoS) 攻击对交通信号定时的影响.

主要方法:

  • 控制器动态线性化 (CDL) 与多代理建模的集成.
  • 模拟每个信号阶段作为一个独立的代理.
  • 在控制器构建中采用紧形式动态线性化 (CFDL).
  • 设计一个拒绝服务 (DoS) 攻击补偿机制.

主要成果:

  • 在各种攻击强度下,CDL-DMFAC有效地抑制了队列增长和延迟积累.
  • 性能优势随着攻击严重程度的提高而增加.
  • 在严重的DoS攻击下,平均队列长度减少了28.3%,平均等待时间减少了36.32%.
  • 证明了强大的弹性和运营稳定性.

结论:

  • 拟议的CDL-DMFAC战略为交通流效率和应对网络攻击的弹性提供了显著的改进.
  • 该方法显示了在大型城市交通网络中部署的潜力.
  • 与安全机制集成的自适应控制对于未来的智能运输系统至关重要.