Lab Name

Web3DB

Short Description

Web3DB is a decentralized relational database interface that manages the data generated by end users in a distributed and zero-trust manner. It uses a blockchain-based identity management to enable fine-grained access control over the data shared by end users. It uses InterPlanetary File System (IPFS) as the persistant storage to ensure transparency and robustness.

Scope of Lab

The Web3DB project aims to provide a zero-trust data sharing cyberinfrastructure, where data owners (DOs, e.g., users or entities generating data) truly have the ownership by not trusting but verifying, i.e., letting them verify all the records/logs to be assured that their data is shared/used in the way they want. Web3DB will let DOs contribute their data to a decentralized database that is managed in a zero-trust manner while preserving data security and individual privacy. The data consumers (DCs, e.g., service providers or entities using the data) will use DOs’ data with the constraints of the access policies defined by the DOs.

Web3DB System Overview

The Web3DB will provide the following features:

  • Decentralized Identity Management with Strong Individual Privacy: The identity of DOs and DCs will be managed in a decentralized manner using the blockchain. The privacy of the individual will be preserved by using the zero-knowledge proof (ZKP) technique.
  • Zero-trust Fine-grained Access Control Enforcement with User-side Encryption: We will develop the hybrid solution with cryptography and trusted execution environment (TEE) to achieve zero-trust access control enforcement. The DOs will be able to define the fine-grained access policies for their data, and the Web3DB will enforce the access control based on the policies.
  • Strong Data Integrity and Transparency: Web3DB will use IPFS as the distributed persistent storage for the data submitted by DOs to ensure the data integrity and transparency.
  • Standard SQL Interface for Data Query: The Web3DB will provide a standard SQL interface for data query, which will be compatible with the existing SQL-based applications.

Initial Committers

  • Gustavo Aniceto - https://github.com/gpradofe
  • Showkot Hossain - https://github.com/showkoth
  • Wenyi Tang - https://github.com/IyNew
  • Taeho Jung - https://github.com/tjungND

Sponsor

Pre-existing repository

None