← Volver atrás
Publicaciones

Scenario-based defense mechanism for distributed model predictive control

Autores

VELARDE RUEDA, PABLO ANIBAL, Maestre J.M. , Ishii H. , Negenborn R.R.

Publicación externa

No

Medio

2017 Ieee 56th Annual Conference On Decision And Control (cdc)

Alcance

Conference Paper

Naturaleza

Científica

Cuartil JCR

Cuartil SJR

Fecha de publicacion

01/01/2017

Scopus Id

2-s2.0-85046135849

Abstract

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 procedure. The theoretical and algorithmic properties of this defense mechanism are also analyzed. A realistic case study based on a local energy grid of households is provided to illustrate both the consequences of the attacks and the defense mechanisms. © 2017 IEEE.

Palabras clave

Model predictive control; Network security; Algorithmic properties; Case-studies; Control schemes; Cyber security; Defence mechanisms; Distributed Model predictive Control; Insider attack; Local controllers; Local energy; Scenario-based; Cybersecurity

Miembros de la Universidad Loyola