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.
- 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.
Here you can find an overview of datasets that can be used for anomaly detection in computer networks.
A Testing Framework for High-Speed Network and Security Devices
Proceedings of the 42nd IEEE Conference on Local Computer Networks (LCN)
A Comparison of TCP Congestion Control Algorithms in 10G Networks
Proceedings of the 41st IEEE Conference on Local Computer Networks (LCN) , Seite 706-714
Setting Up a High-Speed TCP Benchmarking Environment — Lessons Learned
Proceedings of the 41st IEEE Conference on Local Computer Networks (LCN) , Seite 160-163
Integrated Questionnaires: Maintaining Presence in Game Environ- ments for Self-Reported Data Acquisition.
CHI PLAY 2015