myneData: Self-determined Utilization of Personal Data with Inherent Protection of Privacy and Data

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.



Publications

A Moderation Framework for the Swift and Transparent Removal of Illicit Blockchain Content. Proceedings of the 2022 IEEE International Conference on Blockchain and Cryptocurrency (ICBC ‘22), May 2 - May 5, 2022, Shanghai, China. May 2022.
CoinPrune: Shrinking Bitcoin's Blockchain Retrospectively. IEEE Transactions on Network and Service Management, vol. 18, no. 3. September 2021.
Putting Privacy into Perspective -- Comparing Technical, Legal, and Users' View of Information Sensitivity. INFORMATIK 2020, Karlsruhe, Germany. January 2021.
How to Securely Prune Bitcoin’s Blockchain. Proceedings of the 19th IFIP Networking 2020 Conference (NETWORKING ‘20), Jun 22 - Jun 26, 2020, Paris, France. June 2020.
Dispute Resolution for Smart Contract-based Two Party Protocols. IEEE International Conference on Blockchain and Cryptocurrency 2019 (ICBC 2019), May 14 - May 17, 2019, Seoul, South Korea. May 2019.
SHIELD: A Framework for Efficient and Secure Machine Learning Classification in Constrained Environments. Proceedings of the 34rd Annual Computer Security Applications Conference, San Juan, Puerto Rico, USA. December 2018.
Smart Contract-based Car Insurance Policies. 2018 IEEE Globecom Workshops (GC Wkshps), Dec 9 - Dec 13, 2018, Abu Dhabi, United Arab Emirates. December 2018.
Thwarting Unwanted Blockchain Content Insertion. Proceedings of the First IEEE Workshop on Blockchain Technologies and Applications (BTA), Apr 17 - Apr 20, 2018, Orlando, Florida, USA. April 2018.
A Quantitative Analysis of the Impact of Arbitrary Blockchain Content on Bitcoin. Proceedings of the 22nd International Conference on Financial Cryptography and Data Security (FC), Nieuwpoort, Curaçao. February 2018.
BLOOM: BLoom filter based Oblivious Outsourced Matchings. BMC Medical Genomics, vol. 10, no. Suppl 2, Nov 11 - Nov 11, 2016, Chicago, IL, USA. July 2017.
Privacy-Preserving HMM Forward Computation. Proceedings of the 7th ACM Conference on Data and Application Security and Privacy (CODASPY 2017), Scottsdale, AZ, United States. March 2017.
TraceMixer: Privacy-Preserving Crowd-Sensing sans Trusted Third Party. Proceedings of the 2017 13th Annual Conference on Wireless On-demand Network Systems and Services (WONS), Feb 21 - Feb 24, 2017, Jackson, WY, USA. February 2017.
POSTER: I Don't Want That Content! On the Risks of Exploiting Bitcoin's Blockchain as a Content Store. Proceedings of the 23rd ACM Conference on Computer and Communications Security (CCS), Vienna, Austria. October 2016.