Eric Lanfer, Sophia Sylvester, Nils Aschenbruck, Martin Atzmüller "Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets"
Proc. of the 48th IEEE Conference on Local Computer Networks
LCN, Daytona Beach, Florida, USA, Oct. 2-5, 2023, [pdf].
Stefanie Thieme, Dominic Laniewski, Leohard Brüggemann, Eric Lanfer, Bertram Schütz, Nils Aschenbruck "Demo: A Reproducible Link Emulation Environment for the Evaluation of Network-Coded Video Streaming"
Proc. of the 48th IEEE Conference on Local Computer Networks
LCN, Daytona Beach, Florida, USA, Oct. 2-5, 2023, [pdf].
2022
Eric Lanfer, Thomas Hänel, Roland van Rijswijk-Deij, Nils Aschenbruck "Improving Proximity Classification for Contact Tracing using a Multi-channel Approach"
Proc. of the IEEE 47th Conference on Local Computer Networks (LCN), pp. 64-72, Edmonton, Canada, September 26-29, 2022, [pdf].
🏆 Best Demonstration Award IEEE LCN 2022 🏆
Till Zimmermann, Eric Lanfer, Nils Aschenbruck "Developing a Scalable Network of High-Interaction Threat Intelligence Sensors for IoT Security"
Proc. of the IEEE 47th Conference on Local Computer Networks (LCN), pp. 64-72, Edmonton, Canada, September 26-29, 2022, [pdf].
2021
Eric Lanfer "Multi-channel proximity estimation to improve privacy preserving contact tracing methods"
Master Thesis, University of Osnabrück, May 2021, [pdf].
Bachelor Thesis "Evaluating the Impact of Target Vulnerability Information on the Performance of Anomaly-Based Network Intrusion Detection Systems", Marty Schüller
