Research Center for Cybersecurity

The Research Center for Cybersecurity at German UDS focuses on Security Awareness, the economic aspects of cybersecurity and Advanced Security analytics.

Security Awareness addresses the human element of cybersecurity. Recognizing that technology alone cannot mitigate all threats, we work on innovative intelligence services and comprehensive education and training programs tailored for various audiences, from executives to regular end users.

Economics of Cybersecurity examines institutions and incentives in cyberspace. At the Research Center we analyze regulations that shape the market for cyber services and products, and so do the incentives of different groups of attackers. We develop a method for measuring the cost of an attack and to measure the impact of protection. We are also working on ways to integrate cybersecurity into a company's value chain. Ultimately, we cooperate with governments to improve the regulatory framework and consult companies on security aspects in a digitalized world.

Advanced Security Analytics leverages big data, machine learning, and AI to identify, detect, and respond cyber threats. By analyzing vast amounts of data in real time, we aim to detect threat that traditional security approaches often miss, providing a proactive defense mechanism against evolving and sophisticated cyber-attacks. At the Research Center for Cybersecurity, we are dedicated to researching and developing modern and advanced security approaches through innovative research, collaboration, and education, aiming to create a secure digital world.

Research Groups:

  • Economics of Cybersecurity
  • Digital Education and Internet Technologies
  • Design Thinking Research and Neurodesign

Members of the Research Center:

The following Professors and Senior Researchers from the German UDS, along with their scientific collaborators and PhD students, are affiliated with the Research Center for Cybersecurity

Explore Our Other Research Centers

Discover more innovative research taking place at German UDS

Digital Transformations

Digital Transformations should take into account all aspects mentioned in the concepts of e-Science, e-Infrastructures, Open Science and Science 2.0 as issues to be considered in policy making. The different terms refer to the development of new ways of conducting scientific activities using ICT, incorporating previous themes and adding a new layer. Digital Transformationsis the new growth of science and research resulting from all the existing and new, constantly evolving possibilities offered by communication networks, the digital availability of scientific content and new activities and interactions enabled by technology.

Extended Reality

The Research Center for Extended Reality at German UDS is a pioneering institution dedicated to exploring the vast possibilities of Virtual and Augmented Reality (VR/AR) technologies. As digital environments become increasingly integral to everyday life, Extended Reality is at the forefront of research and innovation, striving to unlock the full potential of immersive technologies for a wide range of applications, from education and healthcare to entertainment and industrial training.

Artificial Intelligence

Artificial Intelligence has gone from being an exotic subject of research to a driving force in the development of IT applications over the past 30 years. The focus of research is on what is known as machine learning, i.e., the computer is supposed to discover the solution strategy for a wide variety of problems from large amounts of data on its own. This is why today’s AI is developing hand-in-hand with strategies for storing and making available massive amounts of data. Today, this is known as big data, i.e., data that is no longer collected locally, but in the cloud around the world. Deep learning is therefore much more than the use of multi-layer neural networks. Deep learning requires combining all of the above to create adaptive systems that can understand and translate language, or even drive autonomous vehicles.

Learning Technologies

Learning Technologies refers to collecting, aggregating, analyzing and evaluating data about learners and their digitally supported learning contexts. This form of data analysis is motivated by technical, pedagogical, political and economic considerations. Evaluating learner data makes it possible to assess the effectiveness of digital learning formats and methods in order to better understand and optimize the overall learning process. Digital education enables personalised support for learners. The German University of Digital Science can use this directly to improve its services.