Artículo
Scenario-based defense mechanism against vulnerabilities in Lagrange-based DMPC
Autor/es | Maestre Torreblanca, José María
Velarde Rueda, Pablo Ishii, Hideaki Negenborn, R.R. |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 2021-09 |
Fecha de depósito | 2021-09-13 |
Publicado en |
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Resumen | In this paper, we present an analysis of the vulnerability of a distributed model predictive control (DMPC) scheme in the context of cyber-security. We consider different types of the so-called insider attacks. In particular, ... In this paper, we present an analysis of the vulnerability of a distributed model predictive control (DMPC) scheme in the context of cyber-security. We consider different types of the so-called insider attacks. In particular, we consider the situation where one of the local controllers sends false information to others to manipulate costs for its own advantage. Then, we propose a popular scenario-based mechanism to protect or, at least, relieve the consequences of the attack in a typical DMPC negotiation process. The theoretical and algorithmic properties of this defense mechanism are also analyzed. A real case study based on a four tank plant is provided to illustrate both the consequences of the attacks and the defense mechanisms. |
Identificador del proyecto | 18H01460
US-1265917 |
Cita | Maestre Torreblanca, J.M., Velarde, P., Ishii, H. y Negenborn, R.R. (2021). Scenario-based defense mechanism against vulnerabilities in Lagrange-based DMPC. Control Engineering Practice, 114, Article number 104879. |
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