1 Introduction  
2 Background  
3 False Data Injection Attack Settings and Impacts  
4 Defenses Against False Data Injection Attacks  
5 Machine Learning for FDIAs Detection  
6 Discussion on the Detection Performance of Machine Learning Algorithms  
7 Conclusions and Future Directions