Towards model generalization for intrusion detection: Unsupervised machine learning techniques M Verkerken, L D’hooge, T Wauters, B Volckaert, F De Turck Journal of Network and Systems Management 30, 1-25, 2022 | 95 | 2022 |
Inter-dataset generalization strength of supervised machine learning methods for intrusion detection L D’hooge, T Wauters, B Volckaert, F De Turck Journal of Information Security and Applications 54, 102564, 2020 | 93 | 2020 |
Unsupervised machine learning techniques for network intrusion detection on modern data M Verkerken, L D’hooge, T Wauters, B Volckaert, F De Turck 2020 4th Cyber Security in Networking Conference (CSNet), 1-8, 2020 | 51 | 2020 |
A novel multi-stage approach for hierarchical intrusion detection M Verkerken, L D’hooge, D Sudyana, YD Lin, T Wauters, B Volckaert, ... IEEE Transactions on Network and Service Management 20 (3), 3915-3929, 2023 | 48 | 2023 |
Classification hardness for supervised learners on 20 years of intrusion detection data L D’hooge, T Wauters, B Volckaert, F De Turck Ieee Access 7, 167455-167469, 2019 | 39 | 2019 |
Establishing the contaminating effect of metadata feature inclusion in machine-learned network intrusion detection models L D’hooge, M Verkerken, B Volckaert, T Wauters, F De Turck International Conference on Detection of Intrusions and Malware, and …, 2022 | 23 | 2022 |
In-depth comparative evaluation of supervised machine learning approaches for detection of cybersecurity threats L D'hooge, T Wauters, B Volckaert, F De Turck 4th International Conference on Internet of Things, Big Data and Security …, 2019 | 20 | 2019 |
Investigating generalized performance of data-constrained supervised machine learning models on novel, related samples in intrusion detection L D’hooge, M Verkerken, T Wauters, F De Turck, B Volckaert Sensors 23 (4), 1846, 2023 | 14 | 2023 |
Task assignment and capacity allocation for ml-based intrusion detection as a service in a multi-tier architecture YC Lai, D Sudyana, YD Lin, M Verkerken, L D’hooge, T Wauters, ... IEEE Transactions on Network and Service Management 20 (1), 672-683, 2022 | 10 | 2022 |
Hierarchical feature block ranking for data-efficient intrusion detection modeling L D’hooge, M Verkerken, T Wauters, B Volckaert, F De Turck Computer Networks 201, 108613, 2021 | 9 | 2021 |
Machine learning based intrusion detection as a service: Task assignment and capacity allocation in a multi-tier architecture YC Lai, D Sudyana, YD Lin, M Verkerken, L D'hooge, T Wauters, ... Proceedings of the 14th IEEE/ACM International Conference on Utility and …, 2021 | 6 | 2021 |
Castles built on sand: Observations from classifying academic cybersecurity datasets with minimalist methods L D'hooge, M Verkerken, T Wauters, F De Turck, B Volckaert 8th International Conference on Internet of Things, Big Data and Security …, 2023 | 5 | 2023 |
Discovering non-metadata contaminant features in intrusion detection datasets L D’hooge, M Verkerken, T Wauters, B Volckaert, F De Turck 2022 19th Annual International Conference on Privacy, Security & Trust (PST …, 2022 | 5 | 2022 |
Improving Generalization of ML-based IDS with Lifecycle-based Dataset, Auto-Learning Features, and Deep Learning D Sudyana, YD Lin, M Verkerken, RH Hwang, YC Lai, L D’hooge, ... IEEE Transactions on Machine Learning in Communications and Networking, 2024 | 2 | 2024 |
Characterizing the impact of data-damaged models on generalization strength in intrusion detection L D’hooge, M Verkerken, T Wauters, F De Turck, B Volckaert Journal of Cybersecurity and Privacy 3 (2), 118-144, 2023 | 2 | 2023 |
Performance Impact of Queue Sorting in Container-Based Application Scheduling J Santos, M Verkerken, L D'hooge, T Wauters, B Volckaert, F De Turck 2023 19th International Conference on Network and Service Management (CNSM), 1-9, 2023 | 1 | 2023 |
ChronosGuards: A Hierarchical Machine Learning Intrusion Detection System for Modern Clouds M Verkerken, J Santos, L D’hooge, T Wauters, B Volckaert, F De Turck 2024 20th International Conference on Network and Service Management (CNSM), 1-9, 2024 | | 2024 |
Quality Analysis in IDS Dataset: Impact on Model Generalization D Sudyana, M Verkerken, L D’Hooge, YD Lin, RH Hwang, YC Lai, ... 2024 IEEE Conference on Communications and Network Security (CNS), 1-6, 2024 | | 2024 |
Discovery and Characterization of Flaws in Machine-Learned Network Intrusion Detection Systems and Data Sets L D'hooge Ghent University, 2023 | | 2023 |
The importance of establishing baselines in ML classification tasks L D'hooge, T Wauters, B Volckaert, F De Turck Faculty of Engineering and Architecture Research Symposium 2022 (FEARS 2022), 2022 | | 2022 |