48 citations
- TU WienAT3 papers
- Fraunhofer Institute for Telecommunications, Heinrich Hertz InstituteDE2 papers
- Johannes Gutenberg University MainzDE2 papers
- Bavarian BroadcastingDE1 paper
- Computer Algorithms for MedicineAT1 paper
- Graz University of TechnologyAT1 paper
- Hitachi Global Storage Technologies (United States)US1 paper
- Institute of Computer SciencePL1 paper
- Jagiellonian UniversityPL1 paper
- Siemens (Germany)DE1 paper
- Südwestrundfunk (Germany)DE1 paper
- Target (United States)US1 paper
15 papers
If It Looks Like a Rootkit and Deceives Like a Rootkit: A Critical Examination of Kernel-Level Anti-Cheat Systems
Christoph Dorner, Lukas Daniel Klausner
Addressing a critical aspect of cybersecurity in online gaming, this paper systematically evaluates the extent to which kernel-level anti-cheat systems mirror the properties of roo…
The Future is Meta: Metadata, Formats and Perspectives towards Interactive and Personalized AV Content
Alexander Weller, Werner Bleisteiner, Christian Hufnagel +1
The production of media content has undergone tremendous changes in recent years. Multiple daily content updates are just as common for some platforms as is processing the provided…
Smart Cities and Digital Twins in Lower Austria
Gabriela Viale Pereira, Lukas Daniel Klausner, Lucy Temple +3
Smart city solutions require innovative governance approaches together with the smart use of technology, such as digital twins, by city managers and policymakers to manage the big…
Towards a Critical Open-Source Software Database
Tobias Dam, Lukas Daniel Klausner, Sebastian Neumaier
Open-source software (OSS) plays a vital role in the modern software ecosystem. However, the maintenance and sustainability of OSS projects can be challenging. In this paper, we pr…
Building a Knowledge Graph of Distributed Ledger Technologies
Lukas König, Sebastian Neumaier
Distributed ledger systems have become more prominent and successful in recent years, with a focus on blockchains and cryptocurrency. This has led to various misunderstandings abou…
Explaining machine learning models for age classification in human gait analysis
Djordje Slijepcevic, Fabian Horst, Marvin Simak +7
Machine learning (ML) models have proven effective in classifying gait analysis data, e.g., binary classification of young vs. older adults. ML models, however, lack in providing h…