This paper mainly focuses on the problems of attack detection and reconstruction of cyber physical systems (CPS) under dynamic load altering attacks (D-LAA). Taking the smart grid as an example, firstly, the power system subjected to the attack is modeled as a power CPS through system characteristics to provide conditions for attack detection. On this basis, we assume that two vulnerable loads are attacked simultaneously to investigate the impact of the attack on the system. Secondly, a robust sliding mode observer is designed to implement attack reconstruction with the residual signal generated by the observer. After that, an attack detection logic is applied to complete the attack detection by comparing the threshold with the residual. Finally, a three generators and six buses power system is given as an example to verify the feasibility of attack detection and reconstruction by using the real-time simulation platform built by StarSim and MT respectively. The simulation results are given in this paper.

本文主要针对动态负载变化攻击（D-LAA）下的网络物理系统（CPS）的攻击检测和重建问题。以智能电网为例，首先，通过系统特征将遭受攻击的电力系统建模为电力CPS，为攻击检测提供条件。在此基础上，我们假设同时攻击了两个易受攻击的负载以调查攻击对系统的影响。其次，设计了一种鲁棒的滑模观测器，以利用观测器生成的残差信号实现攻击重建。此后，通过将阈值与残差进行比较，攻击检测逻辑将用于完成攻击检测。最后，以三发电机六母线电力系统为例，通过分别使用StarSim和MT构建的实时仿真平台，验证了攻击检测和重建的可行性。本文给出了仿真结果。