| Título | 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 |
| Web | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046135849&doi=10.1109%2fCDC.2017.8264590&partnerID=40&md5=44218d1485d6dbd620339d6cb14d3e47 |
| Fecha de publicacion | 01/01/2017 |
| Scopus Id | 2-s2.0-85046135849 |
| DOI | 10.1109/CDC.2017.8264590 |
| 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 |