Paper Info
Title
Attack Detection In Stochastic Interconnected Systems: Centralized Vs Decentralized Detectors
Abstract
In this paper we consider a security problem for stochastic interconnected systems, where the objective is to detect attacks on the system dynamics from sparse measurements. We consider two classes of detectors, namely centralized and decentralized detectors, which differ primarily in their knowledge of the system model. In particular, a decentralized detector has a model of the dynamics of the isolated subsystems, but is unaware of the interconnections between them. Instead, a centralized detector has a model of the entire dynamical system. We characterize the performance of the two detectors, and show that, depending on the systems parameters and attack strategy, each of the detectors can outperform the other. In other words, it may be possible for a decentralized detector to outperform a centralized detector, which, as we discuss, is due to the considered hypothesis testing problem. Finally, we illustrate our results through a set of numerical examples.
Year
DOI
Venue
2018
10.1109/CDC.2018.8618680
2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC)
Field
DocType
ISSN
Mathematical optimization,Computer science,Stochastic process,System dynamics,Detector,Dynamical system,Statistical hypothesis testing,System model
Conference
0743-1546
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Anguluri Rajasekhar112011.05
Vaibhav Katewa276.58
Fabio Pasqualetti3101469.88