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Efficient Malicious Traffic Classification Methods based on Semi-supervised Learning2022 International Conference on Dependable Systems and Their Applications (DSA) conference-paper Computer Science Network Security and Intrusion Detection
Xiaoyi Hu, Jie Yin, Jie Yang, Bamidele Adebisi, Haris Gacanin
2citations -
Artifact: One IDS is not Enough! Exploring Ensemble Learning for Industrial Intrusion Detection2023 Zenodo (CERN European Organization for Nuclear Research) conference-paper Computer Science Network Security and Intrusion Detection Open access
Konrad Wolsing, Dominik Kus, Eric Wagner, Jan Pennekamp, Martin Henze
1citations -
Artifact: SoK: Evaluations in Industrial Intrusion Detection Research2023 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Network Security and Intrusion Detection Open access
Olav Lamberts, Konrad Wolsing, Eric Wagner, Jan Pennekamp, Jan Bauer, Martin Henze
0citations -
Artifact: SoK: Evaluations in Industrial Intrusion Detection Research2023 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Network Security and Intrusion Detection Open access
Olav Lamberts, Konrad Wolsing, Eric Wagner, Jan Pennekamp, Jan Bauer, Martin Henze
0citations