Scientific Background

Bachelor Thesis

A Framework for Digital Watermarking Next Generation Media Broadcasts
under the supervision of Prof. Dr. Schwenk and Prof. Dr. Tüchelmann published in Advances in Machine Learning and Data Analysis, Lecture Notes in Electrical Engineering, Vol. 48, November 2009.

Abstract: A Framework for Digital Watermarking Next Generation Media Broadcasts
The Internet presents a problem for the protection of intellectual property. Those who create content must be adequately compensated for the use of their works. Rights agencies who monitor the use of these works exist in many jurisdictions. In the traditional broadcast environment this monitoring is a difficult task. With Internet Protocol Television (IPTV) and the Next Generation Networks (NGN) this situation is further complicated.
In this work we focus on Digitally Watermarking next generation media broadcasts. We present a framework which provides the ability to monitor media broadcasts that also utilises a Public Key Infrastructure (PKI) and Digital Certificates. Furthermore, the concept of an independent monitoring agency, that would operate the framework and act as an arbiter, is introduced. We finally evaluate appropriate short signature schemes, suitable Watermarking algorithms and Watermark robustness.


Master Thesis

Forensic Identification and Validation of Computational Structures in Distributed Environments
under the supervision of Prof. Dr. Steven Wolthusen and Prof. Dr. Schwenk.

Abstract: Forensic Identification and Validation of Computational Structures in Distributed Environments
Cloud Computing is arguably one of the most discussed topics in recent times as it presents many promising opportunities for the Information Technology sector. However, many customers remain reluctant to move their business IT function completely to the Cloud. One of the main problems that concern customers, when considering Cloud Computing, is that of security and the threat of the unknown. For many reasons Cloud Service Providers (CSPs) often do not want their customers to see what is behind the virtual curtain. Therefore, IT Compliance, Governance, Data Privacy and the ability to perform digital investigations, continue to present an unsolved key problem in the Cloud Computing sector. Especially in the case of Digital Forensics, a lack of physical access to servers constitutes a completely new and disruptive challenge for investigators.
This work contributes to the issue of forensic investigations in Cloud environments by providing theoretical approaches for identifying and validating computational structures within Cloud environments. It is researched if and how sequential state estimation methods such as Sequential Monte Carlo methods can be applied for this purpose in distributed infrastructures like Cloud Computing environments on the supposition that various observations are missing. Furthermore, the different probabilistic approaches and their potential combinations are discussed and corresponding limitations are analyzed.


Teaching Assistance

  • Lecturer at the University of Cooperative Education Emsland (BA Emsland), (Winter terms 2010/2011, 2011/2012)
  • Organization of the popular HackerPraktikum at the Chair for Network and Data Security, Ruhr University Bochum (2009 – 2011)
  • Supervision of several Bachelor / Master Thesis in the area of information security


Research Periods abroad

desert hiker & packrafting enthusiast & interest in information security