Cyber-Attack Reconstruction via Sliding Mode Differentiation and Sparse Recovery Algorithm: Electrical Power Networks Application
| Title | Cyber-Attack Reconstruction via Sliding Mode Differentiation and Sparse Recovery Algorithm: Electrical Power Networks Application |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Nateghi, S., Shtessel, Y., Barbot, J., Zheng, G., Yu, L. |
| Conference Name | 2018 15th International Workshop on Variable Structure Systems (VSS) |
| Date Published | jul |
| Publisher | IEEE |
| ISBN Number | 978-1-5386-6439-1 |
| Keywords | actuators, cyber-attack reconstruction, Cyber-physical systems, electric power system, electrical power networks application, Electronic mail, Generators, power system control, Power systems, pubcrawl, resilience, Resiliency, security, security of data, Sensor systems, sliding mode differentiation techniques, sparse recovery algorithm, System recovery, variable structure systems |
| Abstract | In this work, the unknown cyber-attacks on cyber-physical systems are reconstructed using sliding mode differentiation techniques in concert with the sparse recovery algorithm, when only several unknown attacks out of a long list of possible attacks are considered non-zero. The approach is applied to a model of the electric power system, and finally, the efficacy of the proposed techniques is illustrated via simulations of a real electric power system. |
| URL | https://ieeexplore.ieee.org/document/8460426 |
| DOI | 10.1109/VSS.2018.8460426 |
| Citation Key | nateghi_cyber-attack_2018 |
- pubcrawl
- variable structure systems
- System recovery
- sparse recovery algorithm
- sliding mode differentiation techniques
- Sensor Systems
- security of data
- security
- Resiliency
- resilience
- actuators
- power systems
- power system control
- Generators
- Electronic mail
- electrical power networks application
- Electric Power System
- cyber-physical systems
- cyber-attack reconstruction