Scalable, secure and reliable PPRL solutions with PRIMAT
Privacy-preserving record linkage (PPRL) is increasingly demanded in real-world applications, e.g., in the health-care domain, to combine person-related data for data analysis while preserving the privacy of individuals. However, the adoption of PPRL is hampered by the absence of easy-to-use and powerful PPRL tools covering the entire PPRL process. In this talk, we present PRIMAT, an open-source toolbox to ease the definition and execution of tailored PPRL workflows. In this context, we outline scalable and secure linkage protocols as well as approaches that aim at high linkage quality outcome. Finally, we discuss open challenges and research directions.
- Since 05/2017 – Researcher / Ph.D. student at Leipzig University
- 2017 – M. Sc. Computer Science, Leipzig University
- 2014 – B. Sc. Computer Science, University of Jena