用量子化测量和随机多模式攻击对网络物理系统进行异步控制
IEEE transactions on cybernetics
|April 18, 2025
概括
本研究涉及在隐形,多模式攻击下对网络物理系统 (CPS) 控制. 一个新的控制器稳定系统,尽管未知的攻击模式和数据丢失.
科学领域:
- 控制系统工程 控制系统工程
- 网络物理系统安全 网络物理系统安全
- 随机过程 随机过程
背景情况:
- 网络物理系统 (CPS) 面临着由于开放网络和带限通信的安全挑战.
- 对CPS的攻击可能是多模式和隐蔽的,使检测变得困难.
- 观察者依赖的异步控制对于在逆境条件下的系统稳定性至关重要.
研究的目的:
- 制定一个强大的控制策略,用于CPS对抗观察者依赖的异步攻击.
- 为应对网络系统中隐形,多模式攻击的挑战.
- 设计一个控制器,尽管信息丢失和未知攻击模式,但有效运行.
主要方法:
- 对于带限频道的测量输出量化.
- 一个具有半马尔科夫链动态的多通道传输框架,用于攻击模式.
- 一个双层的随机过程 (隐藏的半马尔科夫跳跃模式) 来模拟隐形的多模式攻击.
- 使用排放概率的观察模式依赖控制器的设计.
主要成果:
- 拟议的控制器有效地稳定了CPS在隐蔽,多模式攻击下.
- 该方法适应了数据量化和信息丢失.
- 模拟证明了控制器在无人地面车辆和质量弹阻尼器系统上的可行性.
结论:
- 开发的依赖观察者的异步控制策略增强了CPS对复杂攻击的弹性.
- 隐藏的半马尔科夫跳转模式框架为分析复杂的攻击场景提供了强大的方法.
- 这项研究提供了一种实际的解决方案,用于在敌对环境中确保CPS.
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