1 citations · 1 across the 5 of their papers we have counts for
5 papers
DeZent: Decentralized z-Anonymity with Privacy-Preserving Coordination
Carolin Brunn, Florian Tschorsch
Analyzing large volumes of sensor network data, such as electricity consumption measurements from smart meters, is essential for modern applications but raises significant privacy…
ContinuumConductor : Decentralized Process Mining on the Edge-Cloud Continuum
Hendrik Reiter, Janick Edinger, Martin Kabierski +10
Process mining traditionally assumes centralized event data collection and analysis. However, modern Industrial Internet of Things systems increasingly operate over distributed, re…
Process Mining on Distributed Data Sources
Maximilian Weisenseel, Julia Andersen, Samira Akili +10
Major domains such as logistics, healthcare, and smart cities increasingly rely on sensor technologies and distributed infrastructures to monitor complex processes in real time. Th…
An applied Perspective: Estimating the Differential Identifiability Risk of an Exemplary SOEP Data Set
Jonas Allmann, Saskia Nuñez von Voigt, Florian Tschorsch
Using real-world study data usually requires contractual agreements where research results may only be published in anonymized form. Requiring formal privacy guarantees, such as di…
From Theory to Comprehension: A Comparative Study of Differential Privacy and -Anonymity
Saskia Nuñez von Voigt, Luise Mehner, Florian Tschorsch
The notion of -differential privacy is a widely used concept of providing quantifiable privacy to individuals. However, it is unclear how to explain the level of priva…