Description: Funded by the NSF Secure and Trustworthy Computing program
Amanuensis , a TEE-enabled blockchain data-sharing system, allows data providers to set access-control lists for all data and ensures that data remains confidential in an ecosystem comprised of organizations that do not necessarily trust one another. Along with data confidentiality, Amanuensis provides information provenance – the ability to trace the origin of information that may have been derived from a series of aggregations and transformations on many input and intermediary data sets – for data created
Taylor Hardin and David Kotz. Amanuensis: provenance, privacy, and permission in TEE-enabled blockchain data systems. Proceedings of the IEEE International Conference on Distributed Computing Systems , pages 144–156. IEEE, July 2022. doi: 10.1109/ICDCS54860.2022.00023 . ©Copyright IEEE.
We are proud to announce a THaW team members’ successful dissertation. Dr. Taylor Hardin’s dissertation focuses on an end-to-end solution for providing information provenance for mHealth data, which begins by securing mHealth data at its source: the mHealth device.