Laurens D'hooge
Scholar

Laurens D'hooge

Google Scholar ID: NQe4w9UAAAAJ
Ghent University, IDLab-Imec
intrusion detectionmachine learningcyber security
Citations & Impact
All-time
Citations
565
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
9
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • 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.