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COMP3217_smart_grid

Attack detection and using machine learning

This is a part of coursework of Security of cyber physical systems Aim :

  1. To find an algorithm that gives the best result and accuracy.
  2. Train the model and use it to predict faults in similar systems.

Usage: python3 ./filename

TrainingDataBinary is for used for binary classification with 128 features (columns) and 6000 values (rows) TrainingDataMulti is for used for multiclass classification with 128 features (columns) and 6000 values (rows)

Each file has 129 columns with the 129th column as the label.

Author: Atharva Anturkar Student ID: 33824924 E-mail: [email protected]

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