午夜探花

Institute of Information Resource Management

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

170.
Wendzel S, Caviglione L, Mazurczyk W, Mileva A, Dittmann J, Kr盲tzer C, Lamsh枚ft K, Vielhauer C, Hartmann L, Keller J, Neubert T, Zillien S. A Generic Taxonomy for Steganography Methods. ACM Comput. Surv.. 2025;             
169.
Wendzel S, Volpert S, Zillien S, Lenz J, R眉nz P, Caviglione L. A Survey of Internet Censorship and its Measurement: Methodology, Trends, and Challenges. Pre-print. 2025;       
168.
Wendzel S, Schmidbauer T, Zillien S, Keller J. DYST (Did You See That?): An Amplified Covert Channel That Points To Previously Seen Data. IEEE Transactions on Dependable and Secure Computing (TDSC). 2025; 22(1):614-631.             
167.
Petrov D, Ruffing P, Zillien S, Wendzel S. Domainator: Detecting and Identifying DNS-Tunneling Malware Using Metadata Sequences. In: ARES: 20th International Conference on Availability, Reliability and Security. In Press. 2025.       
166.
Volpert S, Winkelhofer S, Seybold D, Domaschka J, Wesner S. The Hidden Costs of Shared CPU Resources: A Closer Look at Cgroups and QoS. In: 2024 Nov. 1.

Click here for an overview of all publications.