Cyber-Attack Reconstruction via Sliding ...
Type de document :
Communication dans un congrès avec actes
Titre :
Cyber-Attack Reconstruction via Sliding Mode Differentiation and Sparse Recovery Algorithm: Electrical Power Networks Application
Auteur(s) :
Nateghi, Shamila [Auteur]
University of Alabama in Huntsville [UAH]
Shtessel, Yuri [Auteur]
University of Alabama in Huntsville [UAH]
Barbot, Jean-Pierre [Auteur]
Laboratoire QUARTZ [QUARTZ ]
Zheng, Gang [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Yu, Lei [Auteur]
Wuhan University [China]
University of Alabama in Huntsville [UAH]
Shtessel, Yuri [Auteur]
University of Alabama in Huntsville [UAH]
Barbot, Jean-Pierre [Auteur]
Laboratoire QUARTZ [QUARTZ ]
Zheng, Gang [Auteur]
Deformable Robots Simulation Team [DEFROST ]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Yu, Lei [Auteur]
Wuhan University [China]
Titre de la manifestation scientifique :
VSS 2018 - 15th International Workshop on Variable Structure Systems
Ville :
Graz
Pays :
Autriche
Date de début de la manifestation scientifique :
2018-07-09
Discipline(s) HAL :
Informatique [cs]/Automatique
Résumé en anglais : [en]
In this work, the unknown cyber-attacks on cyberphysicalsystems are reconstructed using sliding modedifferentiation techniques in concert with the sparse recoveryalgorithm, when only several unknown attacks out of a long ...
Lire la suite >In this work, the unknown cyber-attacks on cyberphysicalsystems are reconstructed using sliding modedifferentiation techniques in concert with the sparse recoveryalgorithm, when only several unknown attacks out of a long listof possible attacks are considered non-zero. The approach isapplied to a model of the electric power system, and finally, theefficacy of the proposed techniques is illustrated via simulationsof a real electric power system.Lire moins >
Lire la suite >In this work, the unknown cyber-attacks on cyberphysicalsystems are reconstructed using sliding modedifferentiation techniques in concert with the sparse recoveryalgorithm, when only several unknown attacks out of a long listof possible attacks are considered non-zero. The approach isapplied to a model of the electric power system, and finally, theefficacy of the proposed techniques is illustrated via simulationsof a real electric power system.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :