Institute of Information Resource Management

The Institute of Information Resource Management (IRM / OMI) addresses the organization, management, network technology, and human aspects of IT systems, with a particular emphasis on security and privacy. Our research focuses is on internet censorship (measurement and circumvention), human factors in networked security, the security of interconnected automation systems (especially building automation systems), and network information hiding.

Further information

Our latest publications

160.
Schymiczek J, Schmidbauer T, Wendzel S. A Case Study on the Detection of Hash-Chain-based Covert Channels Using Heuristics and Machine Learning. In: Proc. 19th International Conference on Availability, Reliability and Security (ARES 2024). ACM; 2024.      [DOI]      [File] 
159.
Strachanski F, Petrov D, Schmidbauer T, Wendzel S. A Comprehensive Pattern-based Overview of Stegomalware. In: Proc. 19th International Conference on Availability, Reliability and Security (ARES 2024). ACM; 2024.      [DOI]      [File] 
158.
Volpert S, Winkelhofer S, Wesner S, Domaschka J. An Empirical Analysis of Common OCI Runtimes' Performance Isolation Capabilities. In: Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering. 2024. p. 60—70.
157.
Dittmann J, Krätzer C, Kiltz S, Altschaffel R, Vielhauer C, Wendzel S, Wefel S, Nitsch H. Attribution von verdeckten (Informations-)Kanälen im Bereich kritischer Infrastrukturen und Potentiale für Prävention und Reaktion (ATTRIBUT). In: GI Sicherheit 2024 — Sicherheit, Schutz und Zuverlässigkeit. Gesellschaft für Informatik e.V. (GI); 2024. p. 265—268.      [DOI]      [File] 
156.
Volpert S, Winkelhofer S, Wesner S, Seybold D, Domaschka J. Exemplary Determination of Cgroups-Based QoS Isolation for a Database Workload. In: Companion of the 15th ACM/SPEC International Conference on Performance Engineering. 2024. p. 235—241.

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