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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.


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


  • 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.



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


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.
November 2016

Abstract: The increasing availability of 10G Ethernet network capabilities challenges existing transport layer protocols. As 10G connections gain momentum outside of backbone networks, the choice of appropriate TCP congestion control algorithms becomes even more relevant for networked applications running in environments such as data centers. Therefore, we provide an extensive overview of relevant TCP congestion control algorithms for high-speed environments leveraging 10G. We analyzed and evaluated six TCP variants using a physical network testbed, with a focus on the effects of propagation delay and significant drop rates. The results indicate that of the algorithms compared, BIC is most suitable when no legacy variant is present; CUBIC is suggested otherwise.

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.
November 2016

Abstract: There are many high-speed TCP variants with different congestion control algorithms, which are designed for specific settings or use cases. Distinct features of these algorithms are meant to optimize different aspects of network performance, and the choice of TCP variant strongly influences application performance. However, setting up tests to help with the decision of which variant to use can be problematic, as many systems are not designed to deal with high bandwidths, such as 10 Gbps or more. This paper provides an overview of pitfalls and challenges of realistic network analysis to help in the decision making process.


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,
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