State Estimation-Based Security Control for Networked Systems Under Hybrid Attacks

This paper is concerned with the security control of networked systems under denial of attacks and false data injection attacks. Firstly, an observer is designed to estimate the system state under hybrid attacks, and the system is modelled as a stochastic closed-loop system with an observer-based security controller. Then, by use of the Lyapunov theory, sufficient security stability and stabilization criteria are derived to ensure the asymptotically stable of the studied system in the mean-square sense under hybrid attacks. Finally, an example is given to illustrate the effectiveness of developed method.

[1]  Zidong Wang,et al.  Event-based security control for discrete-time stochastic systems , 2016 .

[2]  Fei Hu,et al.  Detection of Faults and Attacks Including False Data Injection Attack in Smart Grid Using Kalman Filter , 2014, IEEE Transactions on Control of Network Systems.

[3]  Wen-Long Chin,et al.  Blind False Data Injection Attack Using PCA Approximation Method in Smart Grid , 2015, IEEE Transactions on Smart Grid.

[4]  Mike E. Davies,et al.  Normalized Iterative Hard Thresholding: Guaranteed Stability and Performance , 2010, IEEE Journal of Selected Topics in Signal Processing.

[5]  Paulo Tabuada,et al.  Event-triggered projected Luenberger observer for linear systems under sparse sensor attacks , 2014, 53rd IEEE Conference on Decision and Control.

[6]  Pietro Tesi,et al.  Input-to-State Stabilizing Control Under Denial-of-Service , 2015, IEEE Transactions on Automatic Control.

[7]  Xavier Litrico,et al.  Cyber Security of Water SCADA Systems—Part I: Analysis and Experimentation of Stealthy Deception Attacks , 2013, IEEE Transactions on Control Systems Technology.

[8]  Sonia Martínez,et al.  On the Performance Analysis of Resilient Networked Control Systems Under Replay Attacks , 2013, IEEE Transactions on Automatic Control.

[9]  H. Vincent Poor,et al.  Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models , 2013, IEEE Journal on Selected Areas in Communications.

[10]  Wassim M. Haddad,et al.  An adaptive sliding mode observer for linear systems under malicious attack , 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[11]  Ying Jun Zhang,et al.  Graphical Methods for Defense Against False-Data Injection Attacks on Power System State Estimation , 2013, IEEE Transactions on Smart Grid.

[12]  Paulo Tabuada,et al.  Event-Triggered State Observers for Sparse Sensor Noise/Attacks , 2013, IEEE Transactions on Automatic Control.

[13]  Xiangpeng Xie,et al.  Observer-Based Non-PDC Control for Networked T–S Fuzzy Systems With an Event-Triggered Communication , 2017, IEEE Transactions on Cybernetics.

[14]  Paulo Tabuada,et al.  Secure Estimation and Control for Cyber-Physical Systems Under Adversarial Attacks , 2012, IEEE Transactions on Automatic Control.

[15]  Zidong Wang,et al.  Event-triggered distributed ℋ ∞ state estimation with packet dropouts through sensor networks , 2015 .

[16]  Weiyi Liu,et al.  Security analysis for Cyber-Physical Systems against stealthy deception attacks , 2013, 2013 American Control Conference.