This repository contains the code developed for the Cyber Data Analytics course at TU Delft. It contains the following:
Lab 1: Creditcard Fraud Detection
Using SMOTE techniques and ML ensembles to detect creditcard fraud in a real dataset
Lab 2: Sequential data
Anomaly detection in a SCADA system using ARMA, N-grams with SAX discretization and PCA
Lab 3: Data Streams Detecting a botnet within network traffic using sequential methods (SAX, N-grams and Markov Models)