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A Novel Multi-Stage Approach for Hierarchical Intrusion Detection.

, , , , , , и . IEEE Trans. Netw. Serv. Manag., 20 (3): 3915-3929 (сентября 2023)

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Laurens Wachsmuth

Laurens Form

Laurens Molenkamp

Laurens Molenkamp

Laurens Weiss

 

Другие публикации лиц с тем же именем

Classification Hardness for Supervised Learners on 20 Years of Intrusion Detection Data., , , и . IEEE Access, (2019)Machine learning based intrusion detection as a service: task assignment and capacity allocation in a multi-tier architecture., , , , , , , и . UCC Companion, стр. 27:1-27:6. ACM, (2021)Unsupervised Machine Learning Techniques for Network Intrusion Detection on Modern Data., , , , и . CSNet, стр. 1-8. IEEE, (2020)Towards Model Generalization for Intrusion Detection: Unsupervised Machine Learning Techniques., , , , и . J. Netw. Syst. Manag., 30 (1): 12 (2022)Performance Impact of Queue Sorting in Container-Based Application Scheduling., , , , , и . CNSM, стр. 1-9. IEEE, (2023)Characterizing the Impact of Data-Damaged Models on Generalization Strength in Intrusion Detection., , , , и . J. Cybersecur. Priv., 3 (2): 118-144 (апреля 2023)A Novel Multi-Stage Approach for Hierarchical Intrusion Detection., , , , , , и . IEEE Trans. Netw. Serv. Manag., 20 (3): 3915-3929 (сентября 2023)Establishing the Contaminating Effect of Metadata Feature Inclusion in Machine-Learned Network Intrusion Detection Models., , , , и . DIMVA, том 13358 из Lecture Notes in Computer Science, стр. 23-41. Springer, (2022)Task Assignment and Capacity Allocation for ML-Based Intrusion Detection as a Service in a Multi-Tier Architecture., , , , , , , и . IEEE Trans. Netw. Serv. Manag., 20 (1): 672-683 (марта 2023)Discovering Non-Metadata Contaminant Features in Intrusion Detection Datasets., , , , и . PST, стр. 1-11. IEEE, (2022)