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  • Nils Aschenbruck
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Aschenbruck
Lanfer, E., Sylvester, S., Aschenbruck, N., & Atzmueller, M. (2023). Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets. In (p. 1—4). http://doi.org/10.1109/LCN58197.2023.10223401 (Original work published 2025)
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Zimmermann, T., Lanfer, E., & Aschenbruck, N. (2022). Developing a Scalable Network of High-Interaction Threat Intelligence Sensors for IoT Security. In 2022 IEEE 47th Conference on Local Computer Networks (LCN) (p. 251—253).
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Dreyer, J., Tönjes, R., & Aschenbruck, N. (2022). Decentralizing loT Public- Key Storage using Distributed Ledger Technology. In 2022 International Wireless Communications and Mobile Computing (IWCMC) (pp. 172–177).
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