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Area of Science:

  • Computer Science
  • Information Systems

Background:

  • The data economy relies on data sharing, but centralized solutions create bottlenecks in ownership and accessibility.
  • Existing decentralized approaches using blockchain and distributed storage face scalability limitations in smart contract design.

Purpose of the Study:

  • To propose DeBlock, a scalable architecture for trusted data sharing among unreliable actors.
  • To address the limitations of current smart contract designs in decentralized data sharing systems.

Main Methods:

  • Developed DeBlock architecture integrating a public blockchain with distributed storage (Swarm and IPFS).
  • Implemented a prototype using the Ethereum blockchain.
  • Evaluated system performance across various scenarios, including varying dataset sizes and actor numbers.

Main Results:

  • DeBlock demonstrates superior performance in gas consumption, latency, and resource requirements compared to benchmarks.
  • The architecture shows enhanced scalability with an increasing number of actors and shared datasets.
  • The system provides a transparent catalog with efficient data search and retrieval capabilities.

Conclusions:

  • DeBlock offers a feasible, robust, and scalable solution for decentralized data sharing.
  • The proposed architecture effectively manages data sharing among untrusted actors in a transparent and efficient manner.