KDD-IDS

Unsupervised IDS implementation of KDDcup 99 Dataset

Data Preprocessing

Download the dataset from http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html

Use the script in 'preprocess' folder. Edit kddcup directory in 'main.py' before usage

Static Data Methods

Reconstruction Based Deep Models

• AE (Deep Autoencoder)

• VAE (Variational Autoencoder) *

• AAE (Adversarial Autoencoder)

  • https://arxiv.org/abs/1511.05644

• MEMAE (Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection)

  • https://arxiv.org/abs/1904.02639

• DSEBM (Deep Structured Energy Based Models for Anomaly Detection)

  • https://arxiv.org/abs/1605.07717

Reconstruction Based Dimension Reduction Methods

• PCA (Principal Component Analysis)

• GRP (Gaussian Random Projection)