标题： 基于数据驱动的网络控制系统中无攻击传感器识别 显示英文标题

标题： Data-Driven Identification of Attack-free Sensors in Networked Control Systems

摘要： 本文提出了一种数据驱动的框架，用于在网络化控制系统中识别未受到攻击的传感器，当某些传感器被对手污染时。 假设有一个操作员可以访问工厂离线的输入-输出无攻击轨迹。 然后，提出了一个数据驱动的算法，用于在线控制工厂时识别未受到攻击的传感器。 我们还基于工厂的性质提供了必要条件，以确保该算法可行。 为了对抗某些类别的攻击，本文还介绍了该算法的一个扩展版本，以完全在线识别传感器。 通过数值实例展示了我们算法的有效性。 显示英文摘要

摘要： This paper proposes a data-driven framework to identify the attack-free sensors in a networked control system when some of the sensors are corrupted by an adversary. An operator with access to offline input-output attack-free trajectories of the plant is considered. Then, a data-driven algorithm is proposed to identify the attack-free sensors when the plant is controlled online. We also provide necessary conditions, based on the properties of the plant, under which the algorithm is feasible. An extension of the algorithm is presented to identify the sensors completely online against certain classes of attacks. The efficacy of our algorithm is depicted through numerical examples.