This work proposes Sentinel, a new architecture for decentralized data governance. In a world with growing privacy concerns, it becomes increasingly necessary for data management systems to be trust-free to end users. This paper describes and provides empirical results for enabling data analytics over statistical databases containing sensitive data without requiring any centralized trust and without compromising user privacy. Using smart contracts for decentralized verification of data access policies and trusted execution enclaves (TEEs) for secure computation, this architecture describes a scalable solution for achieving this, supporting the goals of data providers and data consumers alike.
Title
Sentinel: A System for Decentralized Data Governance
Published
2019-05-17
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
EECS-2019-77
Type
Text
Extent
51 p
Archive
The Engineering Library
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