This project originally revolved around former CTO Paul Lewis’ work looking at anomaly detection in large datasets to provide protection against Application-layer DDoS attacks by employing machine-learning techniques.
The project has since evolved to focus on creating a framework for testing algorithms against client and industry-defined security problems involving data.