A Tutorial on Detecting Security Attacks on Cyber-Physical Systems

被引:0
|
作者
Griffioen, Paul [1 ]
Weerakkody, Sean [1 ]
Ozel, Omur [3 ]
Mo, Yilin [4 ]
Sinopoli, Bruno [1 ,2 ]
机构
[1] Carnegie Mellon Univ, Dept Elect & Comp Engn, Pittsburgh, PA 15213 USA
[2] Washington Univ, Dept Elect & Syst Engn, St Louis, MO 63130 USA
[3] George Washington Univ, Dept Elect & Comp Engn, Washington, DC 20052 USA
[4] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
基金
美国国家科学基金会;
关键词
DATA INJECTION ATTACKS; NETWORKED CONTROL-SYSTEMS; STATE ESTIMATION; DEFENSE;
D O I
10.23919/ecc.2019.8796117
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cyber-physical systems (CPSs) have become targets for malicious adversaries, creating new challenges for attaining reliable CPS performance. Achieving CPS security requires tools which extend beyond what is offered in state of the art software and cyber security. In this tutorial, we consider a science of CPS security which combines tools from both cyber security and system theory to defend against adversarial behavior. We discuss realistic and intelligent attack models from an adversarial perspective and then present mechanisms for defenders to achieve resilience by recognizing and responding to such malicious behavior. The focus of this tutorial is particularly on the recognition and detection of attacks, which is the first and foremost step in achieving resilience and is a necessary prerequisite to any active response.
引用
收藏
页码:979 / 984
页数:6
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