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Researcher
Laurens D'hooge
Profile
Projects
Publications
Activities
Awards & Distinctions
21
Results
2024
ChronosGuard : a hierarchical machine learning intrusion detection system for modern clouds
Miel Verkerken
José Pedro Pereira dos Santos
Laurens D'hooge
Tim Wauters
Bruno Volckaert
Filip De Turck
C1
Conference
2024
Improving generalization of ML-based IDS with lifecycle-based dataset, auto-learning features, and deep learning
Didik Sudyana
Ying-Dar Lin
Miel Verkerken
Ren-Hung Hwang
Yuan-Cheng Lai
Laurens D'hooge
Tim Wauters
Bruno Volckaert
Filip De Turck
A2
Journal Article
in
IEEE TRANSACTIONS ON MACHINE LEARNING IN COMMUNICATIONS AND NETWORKING
2024
Quality analysis in IDS dataset : impact on model generalization
Didik Sudyana
Miel Verkerken
Laurens D'hooge
Ying-Dar Lin
Ren-Hung Hwang
Yuan-Cheng Lai
Fietyata Yudha
Tim Wauters
Bruno Volckaert
Filip De Turck
C1
Conference
2024
2023
A novel multi-stage approach for hierarchical intrusion detection
Miel Verkerken
Laurens D'hooge
Didik Sudyana
Ying-Dar Lin
Tim Wauters
Bruno Volckaert
Filip De Turck
A1
Journal Article
in
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
2023
Castles built on sand : observations from classifying academic cybersecurity datasets with minimalist methods
Laurens D'hooge
Miel Verkerken
Tim Wauters
Filip De Turck
Bruno Volckaert
P1
Conference
2023
Characterizing the impact of data-damaged models on generalization strength in intrusion detection
Laurens D'hooge
Miel Verkerken
Tim Wauters
Filip De Turck
Bruno Volckaert
A2
Journal Article
in
JOURNAL OF CYBERSECURITY AND PRIVACY
2023
Discovery and characterization of flaws in machine-learned network intrusion detection systems and data sets
Laurens D'hooge
Filip De Turck
Bruno Volckaert
Dissertation
2023
Investigating generalized performance of data-constrained supervised machine learning models on novel, related samples in intrusion detection
Laurens D'hooge
Miel Verkerken
Tim Wauters
Filip De Turck
Bruno Volckaert
A1
Journal Article
in
SENSORS
2023
Performance impact of queue sorting in container-based application scheduling
José Pedro Pereira dos Santos
Miel Verkerken
Laurens D'hooge
Tim Wauters
Bruno Volckaert
Filip De Turck
P1
Conference
2023
Task assignment and capacity allocation for ML-based intrusion detection as a service in a multi-tier architecture
Yuan-Cheng Lai
Didik Sudyana
Ying-Dar Lin
Miel Verkerken
Laurens D'hooge
Tim Wauters
Bruno Volckaert
Filip De Turck
A1
Journal Article
in
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
2023
2022
Discovering non-metadata contaminant features in intrusion detection datasets
Laurens D'hooge
Miel Verkerken
Tim Wauters
Bruno Volckaert
Filip De Turck
P1
Conference
2022
Establishing the contaminating effect of metadata feature inclusion in machine-learned network intrusion detection models
Laurens D'hooge
Miel Verkerken
Bruno Volckaert
Tim Wauters
Filip De Turck
P1
Conference
2022
Fixing the foundations : towards generalization for machine learning
Miel Verkerken
Laurens D'hooge
Tim Wauters
Bruno Volckaert
Filip De Turck
C3
Conference
2022
The importance of establishing baselines in ML classification tasks
Laurens D'hooge
Tim Wauters
Bruno Volckaert
Filip De Turck
C3
Conference
2022
Towards model generalization for intrusion detection : unsupervised machine learning techniques
Miel Verkerken
Laurens D'hooge
Tim Wauters
Bruno Volckaert
Filip De Turck
A1
Journal Article
in
JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT
2022
2021
Hierarchical feature block ranking for data-efficient intrusion detection modeling
Laurens D'hooge
Miel Verkerken
Tim Wauters
Bruno Volckaert
Filip De Turck
A1
Journal Article
in
COMPUTER NETWORKS
2021
Machine learning based intrusion detection as a service : task assignment and capacity allocation in a multi-tier architecture
Yuan-Cheng Lai
Didik Sudyana
Ying-Dar Lin
Miel Verkerken
Laurens D'hooge
Tim Wauters
Bruno Volckaert
Filip De Turck
P1
Conference
2021
2020
Inter-dataset generalization strength of supervised machine learning methods for intrusion detection
Laurens D'hooge
Tim Wauters
Bruno Volckaert
Filip De Turck
A1
Journal Article
in
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS
2020
Unsupervised machine learning techniques for network intrusion detection on modern data
Miel Verkerken
Laurens D'hooge
Tim Wauters
Bruno Volckaert
Filip De Turck
P1
Conference
2020
2019
Classification hardness for supervised learners on 20 years of intrusion detection data
Laurens D'hooge
Tim Wauters
Bruno Volckaert
Filip De Turck
A1
Journal Article
in
IEEE ACCESS
2019
In-depth comparative evaluation of supervised machine learning approaches for detection of cybersecurity threats
Laurens D'hooge
Tim Wauters
Bruno Volckaert
Filip De Turck
P1
Conference
2019