Intrusion Detection System (IDS) - Version 1.0
This release introduces the initial version of the Intrusion Detection System (IDS). The IDS is designed to detect and classify network intrusions or anomalous activities in a computer network.
Features in this release:
- Loading and preprocessing of training data.
- Training the machine learning model using the Random Forest algorithm.
- Saving and loading the trained model.
- Performing predictions on test data.
- Displaying classification metrics, including precision, recall, and F1-score.
- Visualizing the distribution of attack types.
Please refer to the documentation for detailed instructions on how to use the IDS and interpret the results.