Reconstruction of measurements in state estimation strategy against cyber attacks for cyber physical systems
Title | Reconstruction of measurements in state estimation strategy against cyber attacks for cyber physical systems |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Li, Q., Xu, B., Li, S., Liu, Y., Cui, D. |
Conference Name | 2017 36th Chinese Control Conference (CCC) |
Publisher | IEEE |
ISBN Number | 978-988-15639-3-4 |
Keywords | composability, compressed sensing, compressive sampling, compressive sensing, Cyber Attacks, cyber physical systems, Cyber-physical systems, Dictionaries, dictionary learning, K-singular value decomposition, K-SVD, machine learning, matrix algebra, Matrix decomposition, Observability, over-completed dictionary, Pollution measurement, Power systems, privacy, pubcrawl, Reconstruction of measurements, resilience, Resiliency, sampling matrix, security of data, singular value decomposition, state estimation |
Abstract | To improve the resilience of state estimation strategy against cyber attacks, the Compressive Sensing (CS) is applied in reconstruction of incomplete measurements for cyber physical systems. First, observability analysis is used to decide the time to run the reconstruction and the damage level from attacks. In particular, the dictionary learning is proposed to form the over-completed dictionary by K-Singular Value Decomposition (K-SVD). Besides, due to the irregularity of incomplete measurements, sampling matrix is designed as the measurement matrix. Finally, the simulation experiments on 6-bus power system illustrate that the proposed method achieves the incomplete measurements reconstruction perfectly, which is better than the joint dictionary. When only 29% available measurements are left, the proposed method has generality for four kinds of recovery algorithms. |
URL | https://ieeexplore.ieee.org/document/8028552/ |
DOI | 10.23919/ChiCC.2017.8028552 |
Citation Key | li_reconstruction_2017 |
- Matrix decomposition
- state estimation
- singular value decomposition
- security of data
- sampling matrix
- Resiliency
- resilience
- Reconstruction of measurements
- pubcrawl
- privacy
- power systems
- Pollution measurement
- over-completed dictionary
- Observability
- composability
- matrix algebra
- machine learning
- K-SVD
- K-singular value decomposition
- dictionary learning
- Dictionaries
- cyber-physical systems
- cyber physical systems
- Cyber Attacks
- compressive sensing
- compressive sampling
- compressed sensing