在DoS攻击下的网络控制系统的性能退化估计机制及其对自动地面车辆的应用
IEEE transactions on cybernetics
|July 7, 2023
概括
本研究针对网络控制系统 (NCS) 的拒绝服务 (DoS) 攻击. 一种新方法估计了由这些攻击引起的系统性能恶化,改善了网络安全.
科学领域:
- 计算机科学 计算机科学
- 控制系统工程 控制系统工程
- 网络安全 网络安全
背景情况:
- 网络控制系统 (NCS) 容易受到针对TCP/IP协议的拒绝服务 (DoS) 攻击.
- 拒绝服务攻击利用三方握手,导致数据丢失和系统性能恶化.
- 估计这种性能下降对于保持NCS功能至关重要.
研究的目的:
- 开发一种方法来估计DoS攻击引起的NCS中的系统性能恶化.
- 引入新的控制算法,在网络约束下优化系统性能.
主要方法:
- 提出这个问题作为一个圆形受约束的性能误差估计 (PEE) 问题.
- 提出了一种使用分量重量细分方法 (FWSM) 的新的Lyapunov-Krasovskii函数 (LKF).
- 引入了放松的正确约束和用于控制器优化和值确定的替代方向算法 (ADA).
- 设计了一个基于整体的事件触发控制器 (IETC).
主要成果:
- 成功估计了DoS攻击引起的系统性能恶化.
- 通过减少初始约束来优化控制算法.
- 在使用Simulink的自动地面车辆 (AGV) 模型上验证了拟议的方法的有效性.
结论:
- 拟议的LKF和IETC有效地估计了在DoS攻击下NCS的性能下降.
- 该方法提高了NCS对基于网络的安全威胁的弹性.
- 在AGV模型上通过模拟验证,证明了实际可行性.
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