DocumentCode
630772
Title
Security analysis for Cyber-Physical Systems against stealthy deception attacks
Author
Cheolhyeon Kwon ; Weiyi Liu ; Inseok Hwang
Author_Institution
Sch. of Aeronaut. & Astronaut., Purdue Univ., West Lafayette, IN, USA
fYear
2013
fDate
17-19 June 2013
Firstpage
3344
Lastpage
3349
Abstract
Security of Cyber-Physical Systems (CPS) against cyber attacks is an important yet challenging problem. Since most cyber attacks happen in erratic ways, it is difficult to describe them systematically. In this paper, instead of identifying a specific cyber attack model, we are focused on analyzing the system´s response during cyber attacks. Deception attacks (or false data injection attacks), which are performed by tampering with system components or data, are not of particular concern if they can be easily detected by the system´s monitoring system. However, intelligent cyber attackers can avoid being detected by the monitoring system by carefully design cyber attacks. Our main objective is to investigate the performance of such stealthy deception attacks from the system´s perspective. We investigate three kinds of stealthy deception attacks according to the attacker´s ability to compromise the system. Based on the information about the dynamics of the system and existing hypothesis testing algorithms, we derive the necessary and sufficient conditions under which the attacker could perform each kind of attack without being detected. In the end, we illustrate the threat of these cyber attacks using an Unmanned Aerial Vehicle (UAV) navigation example.
Keywords
security of data; system monitoring; CPS; UAV navigation; cyber attack model; cyber-physical systems; false data injection attacks; hypothesis testing algorithms; intelligent cyber attackers; security analysis; stealthy deception attacks; system monitoring system; system response analysis; unmanned aerial vehicle navigation; Actuators; Estimation error; Monitoring; Navigation; Security; Sensors; Steady-state;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6580348
Filename
6580348
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