Laurens D'hooge

Faculty of Engineering and Architecture > Department of Information technology

ORCID iD: 0000-0001-5086-6361
Bio (via ORCID): This is the ORCID profile of Laurens D'hooge, a PhD candidate working at Ghent university at the Internet and Data Science Lab (IDLab), in collaboration with Imec. I have primarily worked on (network) intrusion detection, but am generally interested in cybersecurity and the application of data science methods within the field. I work in open source as much as I can, these days primarily as StrGenIx on Kaggle (https://www.kaggle.com/dhoogla). If you need a clean version of an academic security dataset, odds are high that I have published one. You can follow my updates on ResearchGate: https://www.researchgate.net/profile/Laurens-Dhooge

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- Conference Paper
- C1
- open access
ChronosGuard : a hierarchical machine learning intrusion detection system for modern clouds

Miel Verkerken (UGent) , José Pedro Pereira dos Santos (UGent) , Laurens D'hooge (UGent) , Tim Wauters (UGent) , Bruno Volckaert (UGent) and Filip De Turck (UGent)

(2024) CNSM2024 : the 20th International Conference on Network and Service Management.
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- Conference Paper
- C1
- open access
Quality analysis in IDS dataset : impact on model generalization

Didik Sudyana, Miel Verkerken (UGent) , Laurens D'hooge (UGent) , Ying-Dar Lin, Ren-Hung Hwang, Yuan-Cheng Lai, Fietyata Yudha, Tim Wauters (UGent) , Bruno Volckaert (UGent) and Filip De Turck (UGent)

(2024) 2024 IEEE Conference on Communications and Network Security (CNS). p.1-6
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- Journal Article
- A2
- open access
Improving generalization of ML-based IDS with lifecycle-based dataset, auto-learning features, and deep learning

Didik Sudyana, Ying-Dar Lin, Miel Verkerken (UGent) , Ren-Hung Hwang, Yuan-Cheng Lai, Laurens D'hooge (UGent) , Tim Wauters (UGent) , Bruno Volckaert (UGent) and Filip De Turck (UGent)

(2024) IEEE TRANSACTIONS ON MACHINE LEARNING IN COMMUNICATIONS AND NETWORKING. 2. p.645-662
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- Journal Article
- A1
- open access
A novel multi-stage approach for hierarchical intrusion detection

Miel Verkerken (UGent) , Laurens D'hooge (UGent) , Didik Sudyana, Ying-Dar Lin, Tim Wauters (UGent) , Bruno Volckaert (UGent) and Filip De Turck (UGent)

(2023) IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT. 20(3). p.3915-3929
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- Conference Paper
- P1
- open access
Performance impact of queue sorting in container-based application scheduling

José Pedro Pereira dos Santos (UGent) , Miel Verkerken (UGent) , Laurens D'hooge (UGent) , Tim Wauters (UGent) , Bruno Volckaert (UGent) and Filip De Turck (UGent)

(2023) 2023 19th International Conference on Network and Service Management (CNSM). In International Conference on Network and Service Management p.387-395
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- PhD Thesis
Discovery and characterization of flaws in machine-learned network intrusion detection systems and data sets

Laurens D'hooge (UGent)

(2023)
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- Journal Article
- A2
- open access
Characterizing the impact of data-damaged models on generalization strength in intrusion detection

Laurens D'hooge (UGent) , Miel Verkerken (UGent) , Tim Wauters (UGent) , Filip De Turck (UGent) and Bruno Volckaert (UGent)

(2023) JOURNAL OF CYBERSECURITY AND PRIVACY. 3(2). p.118-144
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- Conference Paper
- P1
- open access
Castles built on sand : observations from classifying academic cybersecurity datasets with minimalist methods

Laurens D'hooge (UGent) , Miel Verkerken (UGent) , Tim Wauters (UGent) , Filip De Turck (UGent) and Bruno Volckaert (UGent)

(2023) Proceedings of the 8th International Conference on Internet of Things, Big Data and Security : volume 1. p.61-72
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- Journal Article
- A1
- open access
Investigating generalized performance of data-constrained supervised machine learning models on novel, related samples in intrusion detection

Laurens D'hooge (UGent) , Miel Verkerken (UGent) , Tim Wauters (UGent) , Filip De Turck (UGent) and Bruno Volckaert (UGent)

(2023) SENSORS. 23(4).
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- Journal Article
- A1
- open access
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 (UGent) , Laurens D'hooge (UGent) , Tim Wauters (UGent) , Bruno Volckaert (UGent) and Filip De Turck (UGent)

(2023) IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT. 20(1). p.672-683

Academic Bibliography

Laurens D'hooge

ChronosGuard : a hierarchical machine learning intrusion detection system for modern clouds

Quality analysis in IDS dataset : impact on model generalization

Improving generalization of ML-based IDS with lifecycle-based dataset, auto-learning features, and deep learning

A novel multi-stage approach for hierarchical intrusion detection

Performance impact of queue sorting in container-based application scheduling

Discovery and characterization of flaws in machine-learned network intrusion detection systems and data sets

Characterizing the impact of data-damaged models on generalization strength in intrusion detection

Castles built on sand : observations from classifying academic cybersecurity datasets with minimalist methods

Investigating generalized performance of data-constrained supervised machine learning models on novel, related samples in intrusion detection

Task assignment and capacity allocation for ML-based intrusion detection as a service in a multi-tier architecture

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