My main focus is the application of machine learning and statistics to real-world problems. For details about some of my projects and publications please visit my personal website.
DGA-Detect: Using Machine Learning for Collaborative DGA Detection
Combining visit statistics from different sharing partners with domains from DGArchive we leverage machine learning to pre-filter suspicious domains for further annotation and correlation in a dedicated MISP instance. This open source stack allows us to pinpoint domains which are most likely generated by a domain generation algorithm (DGA).