Cyber-Attack Reconstruction via Sliding ...
Document type :
Communication dans un congrès avec actes
Title :
Cyber-Attack Reconstruction via Sliding Mode Differentiation and Sparse Recovery Algorithm: Electrical Power Networks Application
Author(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]
Conference title :
VSS 2018 - 15th International Workshop on Variable Structure Systems
City :
Graz
Country :
Autriche
Start date of the conference :
2018-07-09
HAL domain(s) :
Informatique [cs]/Automatique
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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