Miel Verkerken

Journal Article
A1
open access

Mixed-runtime pod networking for Kubernetes-based edge computing

Tom Goethals (UGent) , Miel Verkerken (UGent) , Merlijn Sebrechts (UGent) , Filip De Turck (UGent) and Bruno Volckaert (UGent)

(2025) IEEE ACCESS. 13. p.209432-209449

Add to list

RustiFlow : bridging the gap between security research and practice using eBPF-based network flow extraction

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

(2025) 2025 IEEE EUROPEAN SYMPOSIUM ON SECURITY AND PRIVACY WORKSHOPS, EUROS&PW. In IEEE European Symposium on Security and Privacy Workshops p.203-216

Add to list

PhD Thesis
open access

Towards secure and generalizable machine learning for network intrusion detection

Miel Verkerken (UGent)

(2025)

Add to list

Conference Paper
P1
open access

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

Miel Verkerken (UGent) , José 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

Add to list

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

Add to list

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

Add to list

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

Add to list

Conference Paper
P1
open access

Performance impact of queue sorting in container-based application scheduling

José 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

Add to list

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

Add to list

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

Academic Bibliography

Miel Verkerken

Mixed-runtime pod networking for Kubernetes-based edge computing

RustiFlow : bridging the gap between security research and practice using eBPF-based network flow extraction

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

Contents

Support

Contact