/FDIA-classification

This repository will have pre-processed dataset and related scripts for building Machine learning based model for classification of False Data Injection Attack.

FDIA-classification

This repository will have pre-processed dataset and related scripts for building a Machine learning-based model for classification of False Data Injection Attack.

Power System Dataset

The dataset is based on a publically available dataset at the below link.

Power System Datasets

Detail about the dataset

Dataset creation steps

  1. Convert .arff file to .csv (Scripts are available)
  2. Iterate through each CSV file and select set of events for FDI and NoFDI (detail is provided in paper)
  3. Merge all events of each class
  4. The resulting dataset will have all event with re-assigned class label 1 or 0 (FDI(1) and NoFDI (0)

Scripts

Note: Will be added after the publication of the manuscript.