Name
Title | ||
|---|---|---|
Real-Time Detection of False Data Injection Attacks in Smart Grid: A Deep Learning-Based Intelligent Mechanism. |
Abstract | ||
|---|---|---|
Application of computing and communications intelligence effectively improves the quality of monitoring and control of smart grids. However, the dependence on information technology also increases vulnerability to malicious attacks. False data injection (FDI), that attack on the integrity of data, is emerging as a severe threat to the supervisory control and data acquisition system. In this paper,... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TSG.2017.2703842 | IEEE Transactions on Smart Grid |
Keywords | Field | DocType |
Real-time systems,Machine learning,Feature extraction,Power systems,SCADA systems,Power measurement,Data models | Data modeling,Smart grid,Electric power system,Feature extraction,Exploit,Real-time computing,SCADA,Artificial intelligence,Deep learning,Engineering,Scalability | Journal |
Volume | Issue | ISSN |
8 | 5 | 1949-3053 |
Citations | PageRank | References |
33 | 1.13 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youbiao He | 1 | 33 | 1.46 |
| Gihan J. Mendis | 2 | 43 | 3.35 |
| Jin Wei | 3 | 47 | 6.42 |