scholarly journals Baiting For Defense Against Stealthy Attacks on Cyber-Physical Systems

2019 ◽  
Author(s):  
David B. Flamholz ◽  
Anuradha M. Annaswamy ◽  
Eugene Lavretsky
Keyword(s):  
Cyber Physical Systems ◽  
Physical Systems ◽  
Stealthy Attacks

scholarly journals Adversarial Regression for Detecting Attacks in Cyber-Physical Systems

2018 ◽  
Author(s):  
Amin Ghafouri ◽  
Yevgeniy Vorobeychik ◽  
Xenofon Koutsoukos
Keyword(s):  
Stackelberg Game ◽  
Cyber Physical Systems ◽  
Learning Approaches ◽  
Physical Damage ◽  
Detection Thresholds ◽  
Physical Systems ◽  
System Resilience ◽  
Common Learning ◽  
Stealthy Attacks ◽  
Stealthy Attack

Attacks in cyber-physical systems (CPS) which manipulate sensor readings can cause enormous physical damage if undetected. Detection of attacks on sensors is crucial to mitigate this issue. We study supervised regression as a means to detect anomalous sensor readings, where each sensor's measurement is predicted as a function of other sensors. We show that several common learning approaches in this context are still vulnerable to stealthy attacks, which carefully modify readings of compromised sensors to cause desired damage while remaining undetected. Next, we model the interaction between the CPS defender and attacker as a Stackelberg game in which the defender chooses detection thresholds, while the attacker deploys a stealthy attack in response. We present a heuristic algorithm for finding an approximately optimal threshold for the defender in this game, and show that it increases system resilience to attacks without significantly increasing the false alarm rate.

scholarly journals A Multiplicative Coordinated Stealthy Attack for Nonlinear Cyber-Physical Systems with Homogeneous Property

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Gyujin Na ◽  
Hanbit Lee ◽  
Yongsoon Eun
Keyword(s):  
Dynamic Systems ◽  
Cyber Physical Systems ◽  
Attack Detection ◽  
Property A ◽  
Physical Systems ◽  
Stealthy Attacks ◽  
Detection Mechanisms ◽  
Nonlinear Nature ◽  
System Knowledge ◽  
Stealthy Attack

Stealthy attacks to cyber-physical systems (CPS) refer to the ones that avoid attack detection mechanisms augmented to the systems typically in the form of anomaly detectors. Various types of stealthy attacks have been reported in the literature. Among the attacks with stealthy property, a recently reported multiplicative coordinated attack is particularly dangerous in that it corrupts sensor and actuator data in a coordinated manner, and it does not require precise system knowledge in order to be stealthy. It must be noted that most of these attacks are applicable to CPS, the physical counterparts of which are of linear dynamics. This could be a limitation since most of the physical dynamic systems that are encountered from CPS perspective are of nonlinear nature. In this work, we present a version of multiplicative coordinated stealthy attack for a class of CPS, the physical counterpart of which possesses nonlinear dynamics. Specifically, for the physical systems with homogeneous property, the attack is constructed and the effect is analyzed. Various simulations are carried out to illustrate the effect of the attack.

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