Distributed detection of covert attacks for linear large-scale interconnected systems is addressed in this article. Existing results consider the problem in centralized settings. This article focuses on large-scale systems subject to bounded process and measurement disturbances, where a single subsystem is under a covert attack. A detection methodology is proposed, where each subsystem can detect the presence of covert attacks in neighboring subsystems in a distributed manner. The detection strategy is based on the design of two model-based observers for each subsystem using only local information. An extensive detectability analysis is provided and simulation results on a power network benchmark are given, showing the effectiveness of the proposed methodology for the detection of covert cyber-attacks.

中文翻译：

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在互连系统中检测隐蔽网络攻击：一种基于分布式模型的方法

本文讨论了对线性大规模互连系统的隐蔽攻击的分布式检测。现有结果考虑了集中设置中的问题。本文重点介绍受有界过程和测量干扰影响的大型系统，其中单个子系统受到隐蔽攻击。提出了一种检测方法，其中每个子系统都可以以分布式方式检测相邻子系统中是否存在隐蔽攻击。检测策略基于仅使用本地信息为每个子系统设计两个基于模型的观察器。提供了广泛的可检测性分析，并给出了电力网络基准的仿真结果，显示了所提出的方法在检测隐蔽网络攻击方面的有效性。