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
Link To Document :
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