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相关概念视频

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在混合攻击和缺失测量的情况下,对联网多传感器系统的分布式共识估计.

Zhijian Cheng1, Lan Yang1, Qunyao Yuan1

  • 1School of Automation, Guangdong-Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Control, and Guangdong Provincial Key Laboratory for Intelligent Decision and Cooperative Control, Guangdong University of Technology, Guangzhou 510006, China.

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概括
此摘要是机器生成的。

本研究通过开发一种分布式共识估计器来解决网络多传感器系统的网络攻击问题,该估计器能够抵御混合攻击和丢失数据. 该研究提高了关键应用程序中的系统安全性和可靠性.

关键词:
分布共识估计分布式共识估计.混合攻击是混合攻击.缺少测量的测量结果网络化的多传感器系统.

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科学领域:

  • 网络系统的安全 网络系统的安全
  • 分布式估计理论 分布式估计理论
  • 网络物理系统 网络物理系统

背景情况:

  • 联网的多传感器系统容易受到复杂的网络攻击,包括拒绝服务 (DoS) 和虚假数据注入 (FDI).
  • 有效的防御策略需要从攻击者的角度了解攻击行为.
  • 缺失的测量进一步使可靠的分布式估计变得复杂.

研究的目的:

  • 为面临混合攻击和缺失测量的联网多传感器系统开发强大的分布式共识估计算法.
  • 在估计器之间的通信道上建模混合攻击 (DoS和FDI).
  • 设计一个可扩展的,低于最佳的估计器,可以减少计算复杂性,同时确保稳定性.

主要方法:

  • 开发了一个混合攻击模型,将DoS和FDI攻击纳入估计器对估计器通信通道.
  • 缺失的测量结果是使用伯努利分布式随机变量建模的.
  • 一个经过修改的基于共识的分布式估计器被设计为整合混合攻击和缺失的测量特征.
  • 为了减轻计算负载,提出了一个可扩展的次优分布式共识估计器.
  • 获得了不足最佳估计器稳定性的足够条件.

主要成果:

  • 拟议的修改分布式估计器有效考虑了混合攻击和缺失的测量.
  • 设计了一个可扩展的次优估计器,与最佳方法相比,它提供了较低的计算复杂性.
  • 建立了足够的条件,保证了次优估计器的稳定性.
  • 对飞机跟踪的模拟实验证明了算法的有效性和可行性.

结论:

  • 开发的分布式共识估计器为混合网络攻击和数据丢失的网络多传感器系统提供了强大的解决方案.
  • 非最佳设计为实时应用程序提供了一种实用的方法,其计算需求减少.
  • 稳定性分析确保在具有挑战性的网络物理环境中可靠的性能.