Stefan Liebald, M. Sc.

Research Associate
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Postal address

  • Institut für Informatik der
  • Technischen Universität München
  • Lehrstuhl I8
  • Boltzmannstr. 3
  • 85748 Garching bei München - Germany

Contact

  • Tel: +49 89 289 - 18021
  • Fax: +49 89 289 - 18033
  • e-Mail: liebaldAtnet.in.tum.de
    (GPG: BEDC 179E 9D2F 1332 DE15 E650 10C7 0DDA EA6D 3046)
  • Building/Room: MI Building, 03.05.043

Consultation hours

By arrangement

Research

  • Smart Space Orchestration
  • Distributed Systems
  • Teaching

projects

  • DecADe: Decentralized Anomaly Detection (2016 – 2019)

Teaching

I'm involved in a multitude of teaching activities taking place at the chair. You can find a brief summary below:

Lab Course iLab2

  • The iLab2 is a practical lab course covering selected network topics including IPv6, BGP, IoT Soft-/Hardware, WWW-Security, advanced wlan.
    • Students can do hands-on network experiments in our designated lab room where they have access to the required hardware.
    • In addition participants create their own small course module about a selected network topic using the same environment.
  • Roles: Organization, Lecturer
  • Semesters: WS2016/17, SS2017, WS2017/18, S2018, WS2018/19

Globally available Massive Open Online Course (MOOC) iLabX

  • The iLabX is designed as Massive Open Online Course (MOOC) about the basics of networking, which will soon be globally available for free on edX.
  • More Information regarding the start of the course can be found at ilabx.ilabxp.com
  • A key feature of the iLabX is that relevant networking information is not only taught by video or text, but can be directly experienced as hands-on during the course.
    • For this purpuse we developed the vLab, which allows participants to run network experiments in a network emulator on their own computer.
    • This brings the lab courses we already have (iLab1/2) to a much broader audience, as it removes the requirement of having multiple PCs, routers and other components usually required to form a network.
  • Roles: Organization, Lecturer, Course Creation

iLabX Block Course at TUM

  • The iLabX can also be taken as block course at TUM at the end of each semester. The block course consists of the digital MOOC part and selected exercises from the iLab1 and iLab2 in the physical lab environment at the chair.
  • Roles: Organization, Lecturer, Course Creation
  • Semesters: SS2018, WS2018/19

Seminar

  • Organisation of the Proseminar Network Hacking in WS2016/17, WS2017/18
  • Supervision of various topics in the "Future Internet (FI)" and "Innovative Internet Technologies and Monile Communications (IITM)" seminars since 2016.

Activities before I started as Research Associate at the chair:

Lab Course iLab1

  • Before starting at the chair I was involved as tutor for the practical lab course iLab1 for four semesters.
  • Semesters: WS2013/14, SS2014, WS2014/15, SS2015

Network Security Lecture

  • Before starting at the chair I was involved as tutor for the Network Security lecture
  • Semesters: WS2013/14, WS2014/15

About Me

Stefan Liebald is currently a scientific staff member and lecturer at the Chair of Network Architectures and Services at the Technical University of Munich (TUM).

He received his Master degree in Informatics from TUM in February 2016. Currently he is a PhD canditate at TUM. His main area of interest lies in Internet of Things and Smart Space research. Current work is focused on Smart Space Orchestration using a distributed, software oriented architecture.

Another area of interest is teaching. He is working on a practical networking course (the iLab) held at TUM since the last 4 years. Furthermore he is part of a team currently preparing a Massive Open Online Course (MOOC) aimed at teaching computer network fundamentals using practical exercises in a virtual elearning environment.

Supervised Theses

In progress

Student Title Type Advisors Year Links
Paulius Sukys IoT Service Modelling MA Marc-Oliver Pahl, Stefan Liebald 2018
Yaroslav Dushko eLearning resilience and feedback MA Marc-Oliver Pahl, Stefan Liebald 2018
Lars Wuestrich Predictive Caching using Machine Learning in IoT Scenarios MA Stefan Liebald, Marc-Oliver Pahl 2018
Christoph Putz Efficient Data Replication in Distributed IoT Environments MA Stefan Liebald, Marc-Oliver Pahl 2018

Finished

Author Title Type Advisors Year Links
open A fault-proof and tamper-resistant certificate issuance process MA Dr. Holger Kinkelin, Stefan Liebald, Dr. Heiko Niedermayer 2018 Pdf
Sarah Jost Statistical Analysis of eLearning Processes BA Marc-Oliver Pahl, Stefan Liebald 2018
Francois Aubet Machine Learning-Based Adaptive Anomaly Detection in Smart Spaces BA Marc-Oliver Pahl, Stefan Liebald 2018 Pdf
Ellen Maeckelburg Privacy-aware Policy-based IoT Access Control MA Marc-Oliver Pahl, Stefan Liebald 2018 Pdf
Florian Kreitmair Efficient Storage Backends for IoT Data MA Marc-Oliver Pahl, Stefan Liebald 2018 Pdf
Desislava Dimova Socially Interactive Learning Materials BA Marc-Oliver Pahl, Stefan Liebald 2018 Pdf
Valentin Antoni Exchange Platform for eLearning Courses BA Marc-Oliver Pahl, Stefan Liebald 2018
Friederike Groschupp Crowdsourced IoT Data Modeling BA Marc-Oliver Pahl, Stefan Liebald 2018 Pdf
Denis Celik Semi-Autonomous IoT Service Management on Unattended Nodes MA Marc-Oliver Pahl, Stefan Liebald 2018 Pdf
Matthias Moegerle A User-Assisted Creation of Semantic Indoor Models for Smarter Applications MA Marc-Oliver Pahl, Stefan Liebald 2018 Pdf
Fabian Buske Providing a Remotely Manageable Runtime Environment for IoT Services MA Marc-Oliver Pahl, Stefan Liebald 2018 Pdf
Christian Luebben Using Wearables in IoT scenarios MA Marc-Oliver Pahl, Stefan Liebald 2018 Pdf
Lorenzo Donini Autonomous Certificate Management for Microservices in Smart Spaces MA Marc-Oliver Pahl, Stefan Liebald 2018 Pdf
Lars Wuestrich Extension of the virtual iLab-Isle IDP Marc-Oliver Pahl, Stefan Liebald 2018 Pdf
Hendrik Leppelsack Experimental Performance Evaluation of Private Distributed Ledger Implementations MA Dr. Holger Kinkelin, Stefan Liebald 2017 Pdf
Julius Polar iLab Exchange Platform MA Marc-Oliver Pahl, Stefan Liebald 2017 Pdf
Markus Loipfinger Deep Learning in Smart Spaces MA Marc-Oliver Pahl, Stefan Liebald 2017 Pdf
Manuel Ehler Decentralized Feature Processing on Resource-Constrained Devices for Network Anomaly Detection MA Marcel von Maltitz, Stefan Liebald, Simon Bauer, Dr. Holger Kinkelin 2017 Pdf
David Gogrichiani Evaluating Databases for the Internet of Things BA Stefan Liebald, Marc-Oliver Pahl 2017 Pdf
Felix Kuperjans Native Service Interfaces for the Virtual State Layer BA Marc-Oliver Pahl, Stefan Liebald 2017 Pdf
Beatris Burdeva Improving eLearning through statistical Feedback BA Marc-Oliver Pahl, Stefan Liebald 2017 Pdf
Florian Gratzer Voice Controlled Smart Spaces BA Marc-Oliver Pahl, Stefan Liebald 2016 Pdf
Marko Dorfhuber Information Collection for Temporal Variation Analysis on Networks BA Nadine Herold, Matthias Wachs, Stefan Liebald 2016
Christoph Rudolf Automated Planning, Setup and Configuration for Scientific Testbed Environments BA Nadine Herold, Matthias Wachs, Stefan Liebald 2016

Publications

2019-03-01 Fabien Geyer, Holger Kinkelin, Hendrik Leppelsack, Stefan Liebald, Dominik Scholz, Georg Carle, Dominic Schupke, “Performance Perspective on Private Distributed Ledger Technologies for Industrial Networks,” in Proceedings of the International Conference on Networked Systems, Munich, Germany, Mar. 2019. [Bib]
2018-04-01 Marc-Oliver Pahl, Francois-Xavier Aubet, Stefan Liebald, “Graph-Based IoT Microservice Security,” in Network Operations and Management Symposium (NOMS), Apr. 2018. [Pdf] [Bib]
2018-03-01 François-Xavier Aubet, Marc-Oliver Pahl, Stefan Liebald, Mohammad Reza Norouzian, “Graph-based Anomaly Detection for IoT Microservices,” in Passive and Active Measurement Conference (PAM), Mar. 2018. [Pdf] [Bib]
2017-07-01 Nadine Herold, Matthias Wachs, Marko Dorfhuber, Christoph Rudolf, Stefan Liebald, Georg Carle, “Achieving reproducible network environments with INSALATA,” in 11th International Conference on Autonomous Infrastructure, Management and Security (AIMS’2017), Best Paper Award, Zurich, Switzerland, Jul. 2017. [Pdf] [Slides] [Bib]