针对DoS攻击的开关非线性系统的基于观察者的自适应NN安全控制:一种ADT方法
IEEE transactions on cybernetics
|September 13, 2023
概括
本研究介绍了一种新的神经网络 (NN) 控制算法,以保护交换非线性系统 (SNS) 免受拒绝服务 (DoS) 攻击. 该方法确保系统稳定,尽管传感器控制器通信中断.
科学领域:
- 控制系统工程 控制系统工程
- 网络安全 网络安全
- 人工智能的人工智能
背景情况:
- 交换非线性系统 (SNS) 容易受到拒绝服务 (DoS) 攻击,破坏传感器控制器通信.
- 当控制器由于攻击而无法接收数据时,标准控制方法会失败.
- 外部干扰和未建模的动态进一步复杂化了这些系统的控制设计.
研究的目的:
- 开发一个强大的自适应控制算法,用于SNS在DoS攻击下.
- 设计一种控制策略,克服攻击环境中传统后退方法的局限性.
- 为了确保闭环系统中信号的稳定性和局限性,尽管有联合攻击和切换效应.
主要方法:
- 提出了一种新的基于观察者的交换神经网络 (NN) 适应控制算法.
- 根据DoS攻击状态,NN自适应观察员的设计是根据DoS攻击状态进行自适应切换.
- 动态表面控制用于减轻复杂性爆炸,并使用多重Lyapunov函数方法设计具有平均停留时间的切换规律.
主要成果:
- 拟议的算法有效地解决了在DoS攻击下SNS的安全控制问题.
- 适应性NN观察员和控制器确保系统运行,即使有传感器控制器通道中断.
- 设计的开关规律保证了闭环系统中的所有信号都保持着边界.
结论:
- 新的NN自适应控制算法为保护SNS免受DoS攻击提供了可行的解决方案.
- 对NN观察员,动态表面控制和平均停留时间切换法的集成提高了系统的弹性.
- 该方法通过一个说明性示例来验证,证实其实际适用性.
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