This repository will have pre-processed dataset and related scripts for building a Machine learning-based model for classification of False Data Injection Attack.
The dataset is based on a publically available dataset at the below link.
- Convert .arff file to .csv (Scripts are available)
- Iterate through each CSV file and select set of events for FDI and NoFDI (detail is provided in paper)
- Merge all events of each class
- The resulting dataset will have all event with re-assigned class label 1 or 0 (FDI(1) and NoFDI (0)
Note: Will be added after the publication of the manuscript.