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Reducing Attack Opportunities Through Decentralized Event-Triggered Control

delete2024-09-01
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OA
AI
P
Paul Griffioen *
R
Raffaele Romagnoli
B
Bruce H. Krogh
B
Bruno Sinopoli
DOI:10.1109/TCNS.2023.3343151delete
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Abstract

Abstract

En 中文
Cyber-physical systems are prevalent in many critical infrastructures and are vulnerable to a variety of attacks from the network. Decentralized control systems are particularly vulnerable since they rely heavily on network communication to achieve their goals. To address network vulnerabilities, we present an event-triggered network connection and communication protocol that minimizes the amount of time agents are connected to the network, reducing the window of opportunity for attacks. This mechanism is a function of only local information and ensures stability for the overall system in attack-free scenarios. Our approach distinguishes itself from current decentralized event-triggered control strategies by considering an undirected and connected communication graph and by not assuming that agents are always connected to the network to receive critical information from other agents. An algorithm describing this network connection and communication protocol is provided, and our approach is illustrated via simulation.
Keywords:
Protocols
Eigenvalues and eigenfunctions
Network systems
Laplace equations
Observers
Linear matrix inequalities
Computational modeling
Communication networks
cyber-physical systems
decision/estimation theory
networked control systems

Journal

IEEE Transactions on Control of Network Systems cover
IEEE Transactions on Control of Network Systems
IF:
5
Papers:
1.6K
Citations:
5.8K

Organization

C
Carnegie Mellon University
Scholars:
1.4W
Papers: 1.4W
Citations: 2.7W
U
University of California Berkeley
Scholars:
3.5W
Papers: 2.8W
Citations: 11.3W
University of California System cover
University of California System
Scholars:
37.5W
Papers: 33.7W
Citations: 6.6K
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