Laurens D'hooge

19 papers B 3C 3Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
AIBoMGen: Generating an AI Bill of Materials for Secure, Transparent, and Compliant Model Training.
CoRR
Wiebe Vandendriessche, Jordi Thijsman, Laurens D'hooge, Bruno Volckaert, Merlijn Sebrechts
2025 J jnl
ConCap: Practical Network Traffic Generation for Flow-based Intrusion Detection Systems.
CoRR
Miel Verkerken, Laurens D'hooge, Bruno Volckaert, Filip De Turck, Giovanni Apruzzese
2025 — conf
RustiFlow: Bridging the Gap Between Security Research and Practice Using eBPF-Based Network Flow Extraction.
EuroS&P (Workshops)
Miel Verkerken, Matisse Callewaert, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
2024 B conf
ChronosGuards: A Hierarchical Machine Learning Intrusion Detection System for Modern Clouds.
CNSM
Miel Verkerken, José Santos, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
2023 J jnl
A Novel Multi-Stage Approach for Hierarchical Intrusion Detection.
IEEE Trans. Netw. Serv. Manag.
Miel Verkerken, Laurens D'hooge, Didik Sudyana, Ying-Dar Lin, Tim Wauters, Bruno Volckaert, Filip De Turck
2023 C conf
Castles Built on Sand: Observations from Classifying Academic Cybersecurity Datasets with Minimalist Methods.
IoTBDS
Laurens D'hooge, Miel Verkerken, Tim Wauters, Filip De Turck, Bruno Volckaert
2023 J jnl
Characterizing the Impact of Data-Damaged Models on Generalization Strength in Intrusion Detection.
J. Cybersecur. Priv.
Laurens D'hooge, Miel Verkerken, Tim Wauters, Filip De Turck, Bruno Volckaert
2023 J jnl
Investigating Generalized Performance of Data-Constrained Supervised Machine Learning Models on Novel, Related Samples in Intrusion Detection.
Sensors
Laurens D'hooge, Miel Verkerken, Tim Wauters, Filip De Turck, Bruno Volckaert
2023 B conf
Performance Impact of Queue Sorting in Container-Based Application Scheduling.
CNSM
José Santos, Miel Verkerken, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
2023 J jnl
Task Assignment and Capacity Allocation for ML-Based Intrusion Detection as a Service in a Multi-Tier Architecture.
IEEE Trans. Netw. Serv. Manag.
Yuan-Cheng Lai, Didik Sudyana, Ying-Dar Lin, Miel Verkerken, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
2022 C conf
Discovering Non-Metadata Contaminant Features in Intrusion Detection Datasets.
PST
Laurens D'hooge, Miel Verkerken, Tim Wauters, Bruno Volckaert, Filip De Turck
2022 B conf
Establishing the Contaminating Effect of Metadata Feature Inclusion in Machine-Learned Network Intrusion Detection Models.
DIMVA
Laurens D'hooge, Miel Verkerken, Bruno Volckaert, Tim Wauters, Filip De Turck
2022 J jnl
Towards Model Generalization for Intrusion Detection: Unsupervised Machine Learning Techniques.
J. Netw. Syst. Manag.
Miel Verkerken, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
2021 J jnl
Hierarchical feature block ranking for data-efficient intrusion detection modeling.
Comput. Networks
Laurens D'hooge, Miel Verkerken, Tim Wauters, Bruno Volckaert, Filip De Turck
2021 — conf
Machine learning based intrusion detection as a service: task assignment and capacity allocation in a multi-tier architecture.
UCC Companion
Yuan-Cheng Lai, Didik Sudyana, Ying-Dar Lin, Miel Verkerken, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
2020 J jnl
Inter-dataset generalization strength of supervised machine learning methods for intrusion detection.
J. Inf. Secur. Appl.
Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
2020 — conf
Unsupervised Machine Learning Techniques for Network Intrusion Detection on Modern Data.
CSNet
Miel Verkerken, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
2019 J jnl
Classification Hardness for Supervised Learners on 20 Years of Intrusion Detection Data.
IEEE Access
Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
2019 C conf
In-depth Comparative Evaluation of Supervised Machine Learning Approaches for Detection of Cybersecurity Threats.
IoTBDS
Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck