Set-Based Anomaly Detector and Stealthy Attack Impact using Constrained Zonotopes

被引：1
|
作者：
Wagner, Jonas [1 ]
Kogel, Tanner [1 ]
Ruths, Justin [1 ]
机构：
[1] Univ Texas Dallas, Mech Engn Dept, Richardson, TX 75083 USA
来源：
2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC | 2023年
基金：
美国国家科学基金会;
关键词：
D O I：
10.1109/CDC49753.2023.10383403
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a set-based detector is developed and analyzed based on the propagation of nominal (no attacks), actual (possibly with attacks), and perceived (corrupted by attacks) residuals due to bounded system and measurement noise uncertainties. The set of stealthy attacks (attacks that raise no alarms) is characterized and the impact of these stealthy attacks on the system state is quantified. When implemented through the set tools of constrained zonotopes, this approach provides accurate, time-varying attack-reachable sets that can be used to evaluate the safety and performance of systems in adversarial conditions. These tools are demonstrated through two case studies.
引用
收藏
页码：7081 / 7087
页数：7
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