对于具有测量延迟的非线性网络系统,针对DoS攻击的事件触发的稳健状态估计
Sensors (Basel, Switzerland)
|July 29, 2023
概括
本研究介绍了一种事件触发的强大状态估计算法,以提高非线性网络系统的准确性. 该方法可以防御拒绝服务攻击和线性化错误,即使有测量延迟.
科学领域:
- 控制系统工程 控制系统工程
- 网络系统安全 网络系统安全
- 国家估计理论.
背景情况:
- 非线性网络系统容易受到拒绝服务 (DoS) 攻击和从扩展卡尔曼波器 (EKF) 计算中的线性化错误.
- 持续的测量延迟使传统的状态估计算法变得复杂.
- 拒绝服务攻击破坏了测量传输,限制了通信速率并影响了估计器性能.
研究的目的:
- 为非线性网络系统开发事件触发的强大状态估计算法.
- 为应对拒绝服务 (DoS) 攻击和线性化错误所带来的挑战.
- 为了克服不断的测量延迟所带来的局限性.
主要方法:
- 一个事件触发的强大状态估计算法是通过使用灵敏度处罚来得出的.
- 一个明确的数据包到达参数被纳入来管理通信约束.
- 开发了一种新的状态增强方法来处理测量延迟.
主要成果:
- 拟议的算法有效地防御拒绝服务 (DoS) 攻击.
- 扩展卡尔曼波器 (EKF) 内在的线性化错误得到了缓解.
- 数字模拟显示了状态估计准确性的显著改善.
结论:
- 开发的事件触发强健状态估计器提高了非线性网络系统的准确性.
- 这种方法成功地抵御了拒绝服务 (DoS) 攻击和线性化错误.
- 状态增强方法有效地处理测量延迟,提高整体系统性能.
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