Institute of Distributed Systems
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Leonard Bradatsch

Leonard Bradatsch holds a Bachelor degree in Media Informatics and a Master degree in Computer Science from Ulm University. He is currently employed as a research assistant at the Institute of Distributed Systems.

Research:

As part of my thesis, I am currently working on anomaly detection based on network traffic records.

Research Interests 

  • Low-level Programming in C and C++
  • All kinds of network infrastructures and protocols
  • Network Device and Protocol Testing
  • Network Behavior Analysis

Projects

  • bwNetFlow (started 2017/12 – 2020/06; not completed): Development of a toolchain for live data analysis and anomaly detection based on NetFlow records provided by the BelWü core routers.

Dataset Overview

Here you can find an overview of datasets that can be used for anomaly detection in computer networks.

2017

4.
Bradatsch, Leonard; Lukaseder, Thomas; Kargl, Frank
A Testing Framework for High-Speed Network and Security Devices
Proceedings of the 42nd IEEE Conference on Local Computer Networks (LCN)
October 2017

2016

3.
Lukaseder, Thomas; Bradatsch, Leonard; Erb, Benjamin; van der Heijden, Rens W.; Kargl, Frank
A Comparison of TCP Congestion Control Algorithms in 10G Networks
Proceedings of the 41st IEEE Conference on Local Computer Networks (LCN), Page 706-714
IEEE Conference on Local Computer Networks (LCN)
Dubai, UAE
7.-10. November
November 2016
DOI:10.1109/LCN.2016.121
2.
Lukaseder, Thomas; Bradatsch, Leonard; Erb, Benjamin; Kargl, Frank
Setting Up a High-Speed TCP Benchmarking Environment — Lessons Learned
Proceedings of the 41st IEEE Conference on Local Computer Networks (LCN), Page 160-163
IEEE Conference on Local Computer Networks (LCN)
Dubai, UAE
7.-10. November
November 2016
DOI:10.1109/LCN.2016.32

2015

1.
Frommel, Julian; Rogers, Katja; Brich, Julia; Besserer, Daniel; Bradatsch, Leonard; Ortinau, Isabel; Schabenberger, Ramona; Riemer, Valentin; Schrader, Claudia; Weber, Michael
Integrated Questionnaires: Maintaining Presence in Game Environ- ments for Self-Reported Data Acquisition.
CHI PLAY 2015
2015