Laurens D'hooge

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 15

Top Topics

Intrusion Detection

Capacity Allocation

Machine Learning

False Positives And False Negatives

Top Venues

IEEE Trans. Netw. Serv. Manag.

J. Netw. Syst. Manag.

Publications

Laurens D'hooge, Miel Verkerken, Tim Wauters, Filip De Turck, Bruno Volckaert
Investigating Generalized Performance of Data-Constrained Supervised Machine Learning Models on Novel, Related Samples in Intrusion Detection. Sensors 23 (4) (2023)
Miel Verkerken, Laurens D'hooge, Didik Sudyana, Ying-Dar Lin, Tim Wauters, Bruno Volckaert, Filip De Turck
A Novel Multi-Stage Approach for Hierarchical Intrusion Detection. IEEE Trans. Netw. Serv. Manag. 20 (3) (2023)
Laurens D'hooge, Miel Verkerken, Tim Wauters, Filip De Turck, Bruno Volckaert
Castles Built on Sand: Observations from Classifying Academic Cybersecurity Datasets with Minimalist Methods. IoTBDS (2023)
Laurens D'hooge, Miel Verkerken, Tim Wauters, Filip De Turck, Bruno Volckaert
Characterizing the Impact of Data-Damaged Models on Generalization Strength in Intrusion Detection. J. Cybersecur. Priv. 3 (2) (2023)
José Santos, Miel Verkerken, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
Performance Impact of Queue Sorting in Container-Based Application Scheduling. CNSM (2023)
Yuan-Cheng Lai, Didik Sudyana, Ying-Dar Lin, Miel Verkerken, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
Task Assignment and Capacity Allocation for ML-Based Intrusion Detection as a Service in a Multi-Tier Architecture. IEEE Trans. Netw. Serv. Manag. 20 (1) (2023)
Miel Verkerken, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
Towards Model Generalization for Intrusion Detection: Unsupervised Machine Learning Techniques. J. Netw. Syst. Manag. 30 (1) (2022)
Laurens D'hooge, Miel Verkerken, Tim Wauters, Bruno Volckaert, Filip De Turck
Discovering Non-Metadata Contaminant Features in Intrusion Detection Datasets. PST (2022)
Laurens D'hooge, Miel Verkerken, Bruno Volckaert, Tim Wauters, Filip De Turck
Establishing the Contaminating Effect of Metadata Feature Inclusion in Machine-Learned Network Intrusion Detection Models. DIMVA (2022)
Yuan-Cheng Lai, Didik Sudyana, Ying-Dar Lin, Miel Verkerken, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
Machine learning based intrusion detection as a service: task assignment and capacity allocation in a multi-tier architecture. UCC Companion (2021)
Laurens D'hooge, Miel Verkerken, Tim Wauters, Bruno Volckaert, Filip De Turck
Hierarchical feature block ranking for data-efficient intrusion detection modeling. Comput. Networks 201 (2021)
Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
Inter-dataset generalization strength of supervised machine learning methods for intrusion detection. J. Inf. Secur. Appl. 54 (2020)
Miel Verkerken, Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
Unsupervised Machine Learning Techniques for Network Intrusion Detection on Modern Data. CSNet (2020)
Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
In-depth Comparative Evaluation of Supervised Machine Learning Approaches for Detection of Cybersecurity Threats. IoTBDS (2019)
Laurens D'hooge, Tim Wauters, Bruno Volckaert, Filip De Turck
Classification Hardness for Supervised Learners on 20 Years of Intrusion Detection Data. IEEE Access 7 (2019)