myneData

The aim of myneData is to provide a data cockpit in which users are able to decide on the transfer and utilization of sensitive data. Users are also able to formulate individual preferences for privacy protection. The cockpit provides information and assessments on personal privacy risks to accomplish a certain sensitization for that topic. If personal data is used for commercial purposes, users will be compensated for (partially) disclosing their data by receiving micropayments.

The aim of the project myneDATA is to create a personal data cockpit. Thus users should be able to decide on the transfer and utilization of their sensitive data and to formulate individual privacy preferences to protect this data accordingly. Users can collect and organize sensitive data in their personal data cockpit and they can offer data electively to prospects. The secure storage and the selective transmission of data is technically enabled by the use of advanced anonymization processes such as differential privacy. However, the data anonymization will be handled transparently by the data cockpit. The data cockpit will provide an intuitive interface for the user, which she can use to easily determine exactly who has access to which data. The cockpit also provides users with information and assessments on personal privacy risks to accomplish a certain sensitization for that topic. Based on their privacy settings, users will receive micropayments, i.e., fine-granular monetary compensation, in exchange for their data.

myneData, funded by the Federal Ministry of Education and Research, is a joined project of 8 executive project partners under the direction of Dialego AG. The project runs from 2016 to 2019.

Our Team

Researchers

 

 

 

 

 

Students

 

Alumni

 

Our Partners

Contact

  For questions and inquiries regarding the myneData project, please contact:

  Roman Matzutt
  Security and Privacy

  E-Mail: matzutt[at]comsys.rwth-aachen.de

Related Publications

References
9.
Eric Wagner, Achim Völker, Frederik Fuhrmann, Roman Matzutt;Klaus Wehrle
IEEE International Conference on Blockchain and Cryptocurrency 2019 (ICBC 2019)
Publisher: IEEE,
May 2019
to be published
8.
Proceedings of the 22nd International Conference on Financial Cryptography and Data Security (FC), Nieuwpoort, Curaçao
Publisher: Springer,
February 2018
to be published

Note: Pre-proceedings version

7.
Proceedings of the First IEEE Workshop on Blockchain Technologies and Applications (BTA), co-located with the IEEE International Conference on Cloud Engineering 2018 (IC2E 2018), page 364-370.
Publisher: IEEE,
April 2018
ISBN: 978-1-5386-5008-0
6.
Lennart Bader, Jens Christoph Bürger, Roman Matzutt;Klaus Wehrle
2018 IEEE Globecom Workshops (GC Wkshps)
Publisher: IEEE,
December 2018
5.
SHIELD: A Framework for Efficient and Secure Machine Learning Classification in Constrained Environments
Proceedings of the 34rd Annual Computer Security Applications Conference, page 1-15.
Publisher: ACM, New York, NY, USA
December 2018
4.
Proceedings of the 2017 13th Annual Conference on Wireless On-demand Network Systems and Services (WONS), Jackson Hole, WY, USA, page 17-24.
Publisher: IEEE,
February 2017
ISBN: 978-3-901882-88-3
3.
Proceedings of the 7th ACM Conference on Data and Application Security and Privacy (CODASPY 2017), Scottsdale, AZ, USA, page 83-94.
Publisher: ACM,
March 2017
ISBN: 978-1-4503-4523-1
2. BMC Medical Genomics, 10(Suppl 2):29-42
July 2017
ISSN: 1755-8794
1.
Roman Matzutt, Dirk Müllmann, Eva-Maria Zeissig, Christiane Horst, Kai Kasugai, Sean Lidynia, Simon Wieninger, Jan Henrik Ziegeldorf, Gerhard Gudergan, Indra Spiecker gen. Döhmann, Klaus Wehrle;Martina Ziefle
In Eibl, Maximilian and Gaedke, Martin, editor,INFORMATIK 2017, page 1073-1084.
Publisher: Gesellschaft für Informatik, Bonn,
2017
ISBN: 978-3-88579-669-5

Note: Presentation slides are in German

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