一种基于采样数据的安全控制方法,用于随机DoS攻击下的网络控制系统
IEEE transactions on cybernetics
|January 25, 2024
概括
这项研究增强了网络控制系统 (NCS) 对拒绝服务 (DoS) 攻击的安全性. 一个新的控制器使用攻击概率和数据包丢失数据来提高稳定性.
科学领域:
- 控制工程 控制工程 控制工程
- 网络控制系统 (NCS) 是指网络控制系统.
- 控制系统中的网络安全
背景情况:
- 网络控制系统 (NCS) 容易受到随机拒绝服务 (DoS) 攻击,危及稳定性.
- 分析随机攻击的现有方法缺乏捕获最大攻击持续时间的能力.
- 了解攻击特征对于设计NCS中强大的安全控制器至关重要.
研究的目的:
- 分析受到随机DoS攻击的NCS的H∞稳定性.
- 设计基于采样数据的状态反安全控制器,以抵消DoS攻击的影响.
- 开发一个框架,将随机DoS攻击和时间变化的延迟整合到一个统一的模型中.
主要方法:
- 引入一个逻辑处理器来捕获DoS攻击的最大持续时间.
- 使用定期采样技术来计算攻击发生的概率和最大允许的数据包丢失.
- 开发一种新的网络采样数据系统模型和一个DoS依赖的安全控制器.
- 使用Lyapunov-Krasovskii函数来确定稳定性和攻击特征之间的关系.
主要成果:
- 通过量化攻击持续时间和概率来分析DoS攻击下的NCS稳定性的新方法.
- 设计一个状态反控制器,有效地利用攻击信息来缓解不稳定性.
- 通过利亚普诺夫-克拉索夫斯基函数式方法证明平均方位的非对称稳定性.
- 在实际工程应用中验证控制策略的有效性.
结论:
- 提出的基于采样数据的安全控制器有效地提高了在随机DoS攻击下NCS的H∞稳定性.
- 开发的框架提供了一个统一的方法来处理随机的DoS攻击和相关的时间变化的延迟.
- 这些发现提供了一个可靠和适用的控制策略,用于保护NCS免受网络物理威胁.
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