Name
Title | ||
|---|---|---|
Secure State Estimation Against Integrity Attacks: A Gaussian Mixture Model Approach. |
Abstract | ||
|---|---|---|
We consider the problem of estimating the state of a linear time-invariant Gaussian system using N sensors, where a subset of the sensors can potentially be compromised by an adversary. In this case, locating the compromised sensors is of crucial importance for obtaining an accurate state estimate. Inspired by the clustering algorithm in machine learning, we propose a Gaussianmixture-model-based (... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSP.2018.2879037 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Detectors,Detection algorithms,State estimation,Sensor systems,Covariance matrices | Secure state,Mathematical optimization,Algorithm,Gaussian,Cluster analysis,Replay attack,Detector,Mixture model,Mathematics,Covariance | Journal |
Volume | Issue | ISSN |
67 | 1 | 1053-587X |
Citations | PageRank | References |
4 | 0.38 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ziyang Guo | 1 | 69 | 2.51 |
| Dawei Shi | 2 | 312 | 26.03 |
| Daniel E. Quevedo | 3 | 1393 | 100.60 |
| Ling Shi | 4 | 1717 | 107.86 |