INSTITUTE OF COMPUTER SCIENCE

Distributed Systems Group

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Eric Lanfer, M. Sc.

Eric Lanfer
University of Osnabrück
Institute of Computer Science
Friedrich-Janssen-Str. 1
49076 Osnabrück, Germany
Phone:
+49-541-969-3315
Fax:
+49-541-969-2799
Office:
73/E02
E-mail:

Research Interests / Projects

  • Network Security
  • Network Intrusion Detection
  • Wireless Sensor Networks
  • Malware Anaysis

Publications

2024

  • Dominic Laniewski, Eric Lanfer, Bernd Meijerink, Roland van Rijswijk-Deij, Nils Aschenbruck
    "WetLinks: a Large-Scale Longitudinal Starlink Dataset with Contiguous Weather Data"
    accepted for the 8th Network Traffic Measurement and Analysis Conference
    TMA, Dresden, Germany, May 21-24, 2024. [arXiv preprint] [dataset].
  • Dominic Laniewski, Eric Lanfer, Simon Beginn, Jan Dunker, Michael Dückers, Nils Aschenbruck
    "Starlink on the Road: A First Look at Mobile Starlink Performance in Central Europe"
    accepted for the 8th Network Traffic Measurement and Analysis Conference
    TMA, Dresden, Germany, May 21-24, 2024. [arXiv preprint] [dataset].
  • Alexander Böckenholt, Simon Beginn, Dominic Laniewski, Eric Lanfer
    "Towards a Weather-Based Prediction Model For Starlink Throughput"
    Proc. of the 28. ITG-Symposium on Mobile Communication - Technologies and Applications
    Osnabrück, Germany, May 15-16, 2024, pp. 1-5.

2023

  • 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].

Teaching

WT 2022/23

ST 2022

WT 2021/22