Cyber Attack Reconstruction of Nonlinear Systems via Higher-Order Sliding-Mode Observer and Sparse Recovery Algorithm

In this paper, the outputs of a nonlinear system are divided into two groups: outputs of sensors which are protected, and outputs of sensors which are prone to get attacked. A higher-order sliding-mode observer is used to estimate the states of system and plant attacks. Equal to the number of output...

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Bibliographic Details
Main Authors: Nateghi, Shamila, Shtessel, Yuri, Barbot, Jean-Pierre, Edwards, Christopher
Format: Conference Proceeding
Language:English
Subjects:
Actuators
Computer security
Observers
Resilience
Sensor systems
Online Access:Request full text
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Summary:In this paper, the outputs of a nonlinear system are divided into two groups: outputs of sensors which are protected, and outputs of sensors which are prone to get attacked. A higher-order sliding-mode observer is used to estimate the states of system and plant attacks. Equal to the number of outputs under protection, the input plant attacks can be reconstructed asymptotically, whilst the rest of the attacks can be identified by a Sparse recovery method. Finally, simulation results from a real electric power system illustrate efficacy of the proposed observer
ISSN:2576-2370
DOI:10.1109/CDC.2018.8619354