IT & Cyber Security

Profilbild Prof. Tschorsch
ECDF/PR/Noak
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Computer Engineering

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Company testimonials

industrial companies and research institutions
security company

Expertise

Prof. Florian Tschorsch and his team research interests revolve around the analysis and design of distributed systems, in particular network architectures and communication protocols. Here, the inherent implementation of data protection and security requirements in a networked environment represents the overarching research goal. Furthermore, the interaction with other system properties such as resilience, scalability, performance and decentralization is considered. Within this framework, topics such as anonymity or weak identities, data privacy, telemetry infrastructures, peer-to-peer networks, and blockchain technologies are explored.

In addition to this technical expertise, the team is also experienced in collaborating on a wide range of interdisciplinary projects, for example in exchanges with lawyers, economists, and data analysts.

Scientific Services
  • Threat modeling with regard to data protection, data security and network security
  • Network measurements and simulations
  • Design and analysis of resilient distributed systems and algorithms
  • Consulting on the handling of unauthenticated digital identities
  • Consulting on the use and integration of blockchain technologies
  • Project work in interdisciplinary teams consisting of industrial companies and research institutions
  • Cooperation with a security company on the topic of digital identities and IT infrastructures
  • Implementation of pilot projects in real applications
  • Mentoring or consulting for startups and companies in the area of network security and blockchains
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Profilbild Köbler
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Complexity and Cryptography

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Expertise The focus of our research interests is on algorithms for and complexity of theoretic questions for algebraic problems with a special emphasis on graph isomorphism and related algorithmic problems. It is a long standing question wether graph isomorphism can be solved in polynomial time. For many restricted graph classes, efficient algorithms are known (as for graphs with bounded tree width, bounded color class size, for certain intersection graphs (e.g. interval graphs) as well as for all graph classes closed under minors). Further, we investigate related problems as canonization and similarity of graphs as well as theoretical questions originating from the context of cryptography.
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Profilbild Redlich
Faculty of Mathematics and Natural Sciences
Department of Computer Science

System Architecture

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Expertise Many IT systems are (for good reasons) technologically, administratively, or spatially seperate. It is the goal of middleware to integrate these systems, without merging them too itricately. Experience shows that this is not a trivial task. The chair of Systems Architecture investigates key issues that come up repeatedly: reliability/dependability, data security (and privacy), consitency of replicated data, performance and scalability. Autonomous subsystems should be able to auto-configurate but also support coordination by an external operator. Currently, home automation is our premier application domain for studying the aforementioned research questions and to evaluate proposed solutions in practice.
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Profilbild Freytag
Faculty of Mathematics and Natural Sciences
Department of Computer Science

Databases and Information Systems

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Expertise

Prof. Freytag holds the chair of Databases and Information Systems (DBIS). His research interests include all aspects of processing and query optimisation in (object-)relational database systems, developments related to databases (such as semi-structured or graph based data), data quality, big data analyses as well as privacy support in database and information systems. Furthermore, Prof. Freytag is involved in many cooperations using database technology for applications such as geoinformation systems (GIS), bioinformatics, physics and life sciences. In the past, he received the IBM Faculty Award four times for collaborative work concerning databases, middleware, and bioinformatics/life sciences. In 2009 and 2010, Prof. Freytag won the HP Labs Innovation Research Award for his research in the field of databases and cloud computing. He was one of the organisers of the VLDB (Very Large Data Bases) conference in Berlin in 2003, the most important international database conference. From 2001 to 2007, he was a member of the VLDB foundation (VLDB Endowment Inc.). Since 2009, Prof. Freytag has been the spokesperson of the department DBIS of the German Informatics Society (GI).

Scientific Services
  • Large IBM Server Linux/AIX with DBMS IBM DB2
  • Computer cluster with 128 cores
  • 30TB storage capacity
  • Renowned American IT/DBMS manufacturer: improving existing database management systems (DBMSs) in the area of query optimisation; extending existing ETL tools
  • Renowned American IT/DBMS manufacturer: extending DBMS functionality; designing and prototyping performance improvements in query processing; suggestions for future extension of the DBMS products
  • Well known German software manufacturer: continuous consulting in the area of database systems, spe-cifically, query processing over several years to improve performance and functionality
  • Well known German company: design and implementation of a query processing optimiser for the Lighweight Directory Access Protocol (LDAP) product of this company
  • Consulting for various SMEs in Germany in the area of data modeling and process modeling using a state-of-the-art DBMS technology; using DBMS technology within their own products; strategic consulting for a long term use of DBMS technology
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