ARX - A Comprehensive Tool for Anonymizing Biomedical Data

Date: 

Fri Jan 16, 2015

Host: 

Florian Kohlmayer and Fabian Prasser
Technische Universität München
 

Category: 

Privacy Technology

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ABSTRACT

Collaboration and data sharing have become core elements of biomedical research. Especially when sensitive data from distributed sources are linked, privacy threats have to be considered. Statistical disclosure control allows the protection of sensitive data by introducing fuzziness. Reduction of data quality, however, needs to be balanced against gains in protection. Therefore, tools are needed which provide a good overview of the anonymization process to those responsible for data sharing. These tools require graphical interfaces and the use of intuitive and replicable methods. In addition, extensive testing, documentation and openness to reviews by the community are important. Existing publicly available software is limited in functionality, and often active support is lacking. We present the data anonymization tool ARX, which has been developed in close cooperation between the Chair for Biomedical Informatics, the Chair for IT Security and the Chair for Database Systems at Technische Universität München (TUM), Germany. ARX enables the de-identification of structured data (i.e., tabular data) and implements a wide variety of privacy methods in a highly efficient manner. It is extensible, well documented and actively supported. ARX provides an intuitive cross-platform graphical interface and offers a public API for integration with other software systems.

Project Website: http://arx.deidentifier.org

 

SPEAKER BIOGRAPHY

Florian Kohlmayer is a computer scientist and a research assistant at the Chair for Biomedical Informatics at Technische Universität München (TUM), Germany. He holds a Diploma (M.S. equivalent) from TUM. His doctorate studies are supported by a scholarship from the Graduate School of Information Science in Health (GSISH) at TUM and are carried out in close cooperation between the Chair for Biomedical Informatics and the Chair for IT Security. His research interests include IT security and privacy-preserving data management.

Dr. Fabian Prasser is a computer scientist and a research assistant at the Chair for Biomedical Informatics at Technische Universität München (TUM), Germany. He holds a Diploma (M.S. equivalent) and a Ph.D. from TUM. While doing his doctorate, he received a scholarship from the Graduate School of Information Science in Health (GSISH) at TUM and worked at the Chair for Biomedical Informatics and the Database Group. His research interests include graph-structured data, distributed database systems and privacy-preserving data management