基于安全状态估计的弹性控制在网络攻击下对自主系统进行安全状态估计
IEEE transactions on cybernetics
|June 11, 2025
概括
本研究介绍了使用安全状态估计 (SSE) 来保护自主系统免受网络攻击的网络弹性战略. 该方法在攻击期间有效维护系统稳定性和完整性,增强整体自主系统安全性.
科学领域:
- 网络安全 网络安全
- 控制系统工程 控制系统工程
- 机器人技术 机器人技术 机器人技术
背景情况:
- 自主系统越来越容易受到针对传感器和执行器的复杂网络攻击.
- 在网络威胁下确保自主系统的运行完整性和稳定性是一个关键的挑战.
- 现有的安全措施可能无法充分应对动态和适应性网络攻击.
研究的目的:
- 开发和验证使用安全状态估计 (SSE) 的自主系统的网络弹性战略.
- 设计一个能够检测和减轻对传感器和执行器的网络攻击的框架.
- 确保在网络入侵期间保持系统稳定性和运营完整性.
主要方法:
- 为安全状态估计 (SSE) 实施一连串非线性观察者.
- 基于直接Lyapunov方法的识别算法和控制缓解规律的整合.
- 通过在自动驾驶集装箱卡车上实验实施,验证拟议的框架.
主要成果:
- 安全状态估计器准确地估计了对传感器和执行器的攻击.
- 综合控制缓解法在模拟攻击下成功保持了系统稳定性和完整性.
- 实验结果证实了该框架在保持自动驾驶卡车运行条件方面的有效性.
结论:
- 基于SSE的拟议网络弹性战略显著提高了自主系统的安全性.
- 该框架在应对网络攻击方面表现强,确保了系统可靠性.
- 这种方法为提高自主系统对不断变化的网络威胁的弹性提供了一个有希望的解决方案.
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