Miel Verkerken

PhD Thesis

Towards secure and generalizable machine learning for network intrusion detection

Miel Verkerken (UGent)

(2025)

Conference Paper
P1
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) 2024 20TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT, CNSM 2024. In International Conference on Network and Service Management

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Conference Paper
P1
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 2024. In IEEE Conference on Communications and Network Security 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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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

Miel Verkerken

Towards secure and generalizable machine learning for network intrusion detection

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

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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