A Moderation Framework for the Swift and Transparent Removal of Illicit Blockchain Content

Matzutt, Roman; Ahlrichs, Vincent; Pennekamp, Jan; Karwacik, Roman; Wehrle, Klaus; Schomakers, Eva-Maria; Lidynia, Chantal; Müllmann, Dirk; Matzutt, Roman; Wehrle, Klaus; Spiecker gen. Döhmann, Indra; Ziefle, Martina; Matzutt, Roman; Kalde, Benedikt; Pennekamp, Jan; Drichel, Arthur; Henze, Martin; Wehrle, Klaus; Matzutt, Roman; Kalde, Benedikt; Pennekamp, Jan; Drichel, Arthur; Henze, Martin; Wehrle, Klaus; Wagner, Eric; Völker, Achim; Fuhrmann, Frederik; Matzutt, Roman; Wehrle, Klaus; Matzutt, Roman; Hiller, Jens; Henze, Martin; Ziegeldorf, Jan Henrik; Müllmann, Dirk; Hohlfeld, Oliver; Wehrle, Klaus; Matzutt, Roman; Henze, Martin; Ziegeldorf, Jan Henrik; Hiller, Jens; Wehrle, Klaus; Bader, Lennart; Bürger, Jens Christoph; Matzutt, Roman; Wehrle, Klaus; Ziegeldorf, Jan Henrik; Metzke, Jan; Wehrle, Klaus; Ziegeldorf, Jan Henrik; Henze, Martin; Bavendiek, Jens; Wehrle, Klaus; Ziegeldorf, Jan Henrik; Metzke, Jan; Rüth, Jan; Henze, Martin; Wehrle, Klaus; Ziegeldorf, Jan Henrik; Pennekamp, Jan; Hellmanns, David; Schwinger, Felix; Kunze, Ike; Henze, Martin; Hiller, Jens; Matzutt, Roman; Wehrle, Klaus

doi:10.1109/ICBC54727.2022.9805508

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

Jens Bavendiek
Erik Buchholz
Jan Bruckner
Jan Engler
Benedikt Kalde
Patrick Marx
Jan Metzke
Robin Rawiel
Achim Völker
Philine Witzig
Tom Biskup
Jan Henrik Ziegeldorf

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

14.	Roman Matzutt, Vincent Ahlrichs, Jan Pennekamp, Roman Karwacik, and Klaus Wehrle 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 2-5, 2022, Shanghai, China Publisher: IEEE, May 2022 DOI: 10.1109/ICBC54727.2022.9805508 ISBN: 978-1-6654-9538-7/22
13.	Eva-Maria Schomakers, Chantal Lidynia, Dirk Müllmann, Roman Matzutt, Klaus Wehrle, Indra Spiecker gen. Döhmann, and Martina Ziefle Putting Privacy into Perspective -- Comparing Technical, Legal, and Users' View of Information Sensitivity INFORMATIK 2020, page 857-870. Publisher: Gesellschaft für Informatik, Bonn January 2021 DOI: 10.18420/inf2020_76 https://dl.gi.de/handle/20.500.12116/34788 https://arxiv.org/abs/1911.06569
12.	Roman Matzutt, Benedikt Kalde, Jan Pennekamp, Arthur Drichel, Martin Henze, and Klaus Wehrle CoinPrune: Shrinking Bitcoin's Blockchain Retrospectively IEEE Transactions on Network and Service Management, 18(3):3064-3078 September 2021 ISSN: 1932-4537 DOI: 10.1109/TNSM.2021.3073270
11.	Roman Matzutt, Benedikt Kalde, Jan Pennekamp, Arthur Drichel, Martin Henze, and Klaus Wehrle How to Securely Prune Bitcoin’s Blockchain Proceedings of the 19th IFIP Networking 2020 Conference (NETWORKING '20), June 22-26, 2020, Paris, France, page 298-306. Publisher: IEEE, June 2020 ISBN: 978-3-903176-28-7 https://coinprune.comsys.rwth-aachen.de
10.	Eric Wagner, Achim Völker, Frederik Fuhrmann, Roman Matzutt, and Klaus Wehrle Dispute Resolution for Smart Contract-based Two Party Protocols IEEE International Conference on Blockchain and Cryptocurrency 2019 (ICBC 2019) Publisher: IEEE, May 2019 DOI: 10.1109/BLOC.2019.8751312
9.	Roman Matzutt, Jens Hiller, Martin Henze, Jan Henrik Ziegeldorf, Dirk Müllmann, Oliver Hohlfeld, and Klaus Wehrle 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 Publisher: Springer, February 2018 DOI: 10.1007/978-3-662-58387-6_23
8.	Roman Matzutt, Martin Henze, Jan Henrik Ziegeldorf, Jens Hiller, and Klaus Wehrle Thwarting Unwanted Blockchain Content Insertion 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 DOI: 10.1109/IC2E.2018.00070 ISBN: 978-1-5386-5008-0 https://ieeexplore.ieee.org/document/8360355
7.	Lennart Bader, Jens Christoph Bürger, Roman Matzutt, and Klaus Wehrle Smart Contract-based Car Insurance Policies 2018 IEEE Globecom Workshops (GC Wkshps) Publisher: IEEE, December 2018 DOI: 10.1109/GLOCOMW.2018.8644136 https://ieeexplore.ieee.org/document/8644136
6.	Jan Henrik Ziegeldorf, Jan Metzke, and Klaus Wehrle 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 DOI: 10.1145/3274694.3274716
5.	Jan Henrik Ziegeldorf, Martin Henze, Jens Bavendiek, and Klaus Wehrle 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), Jackson Hole, WY, USA, page 17-24. Publisher: IEEE, February 2017 DOI: 10.1109/WONS.2017.7888771 ISBN: 978-3-901882-88-3
4.	Jan Henrik Ziegeldorf, Jan Metzke, Jan Rüth, Martin Henze, and Klaus Wehrle Privacy-Preserving HMM Forward Computation 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 DOI: 10.1145/3029806.3029816 ISBN: 978-1-4503-4523-1
3.	Jan Henrik Ziegeldorf, Jan Pennekamp, David Hellmanns, Felix Schwinger, Ike Kunze, Martin Henze, Jens Hiller, Roman Matzutt, and Klaus Wehrle BLOOM: BLoom filter based Oblivious Outsourced Matchings BMC Medical Genomics, 10(Suppl 2):29-42 July 2017 ISSN: 1755-8794 DOI: 10.1186/s12920-017-0277-y Note: Proceedings of the 5th iDASH Privacy and Security Workshop 2016

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