Machine Learning for Cyber Security - Session 10

QA Distribution changes in time Predictable behaviour Model normal data Negative sampling and categorical variables Training with high probability samples Onehot encoding XGBoost: good, robust, explainable Domain name and malicious url attacks Hands-on Data walkthrough Utility functions