Published 41 papers, with 464 citations. Some of the publications include:
- 'Hierarchical feature block ranking for data-efficient intrusion detection modeling'
- 'Establishing the Contaminating Effect of Metadata Feature Inclusion in Machine-Learned Network Intrusion Detection Models'
- 'Discovering Non-Metadata Contaminant Features in Intrusion Detection Datasets'
- 'Investigating Generalized Performance of Data-Constrained Supervised Machine Learning Models on Novel, Related Samples in Intrusion Detection'
Research Experience
PhD Researcher at IDLab - Internet and Data Science Lab, collaborating with Imec. Focused on (network) intrusion detection and does initial analyses on Kaggle.
Education
Master of Engineering; PhD Researcher at Ghent University, advisor not explicitly mentioned.
Background
PhD candidate at Ghent University, working on ML-based intrusion detection systems. He has a broader interest in both data science and cybersecurity. His work focuses on bridging the gap between academic intrusion detection and real-world adoption of ML-IDS.
Miscellany
Personal interests and hobbies are not explicitly mentioned.