3 papers
cs.CR2026
Pattern-level Differential Privacy for High-utility Complex Event Processing
He Gu, Thomas Plagemann, Vera Goebel +2
Current privacy-preserving mechanisms (PPMs) in Complex Event Processing (CEP) systems are unnecessarily restrictive, reducing the utility of data received by data consumers. This…
cs.CR2026
A Seed for Privacy -- semi-automatic privacy-revealing data detection in databases and data streams
He Gu, Thomas Plagemann, Vera Goebel
Sharing databases and data streams imposes the danger of revealing private information in the form of complex events which can comprise individual data elements and their combinati…
cs.DB2023
Differential Privacy for Protecting Private Patterns in Data Streams
He Gu, Thomas Plagemann, Maik Benndorf +2
Complex event processing (CEP) is a powerful and increasingly more important tool to analyse data streams for Internet of Things (IoT) applications. These data streams often contai…