BSTProv: Blockchain-Based Secure and Trustworthy Data Provenance Sharing

Author:

Sun Lian-ShanORCID,Bai Xue,Zhang Chao,Li Yang,Zhang Yong-Bin,Guo Wen-QiangORCID

Abstract

In the Big Data era, data provenance has become an important concern for enhancing the trustworthiness of key data that are rapidly generated and shared across organizations. Prevailing solutions employ authoritative centers to efficiently manage and share massive data. They are not suitable for secure and trustworthy decentralized data provenance sharing due to the inevitable dishonesty or failure of trusted centers. With the advent of the blockchain technology, embedding data provenance in immutable blocks is believed to be a promising solution. However, a provenance file, usually a directed acyclic graph, cannot be embedded in blocks as a whole because its size may exceed the limit of a block, and may include various sensitive information that can be legally accessed by different users. To this end, this paper proposed the BSTProv, a blockchain-based system for secure and trustworthy decentralized data provenance sharing. It enables secure and trustworthy provenance sharing by partitioning a large provenance graph into multiple small subgraphs and embedding the encrypted subgraphs instead of raw subgraphs or their hash values into immutable blocks of a consortium blockchain; it enables decentralized and flexible authorization by allowing each peer to define appropriate permissions for selectively sharing some sets of subgraphs to specific requesters; and it enables efficient cross-domain provenance composition and tracing by maintaining a high-level dependency structure among provenance graphs from different domains in smart contracts, and by locally storing, decrypting, and composing subgraphs obtained from the blockchain. Finally, a prototype is implemented on top of an Ethereum-based consortium blockchain and experiment results show the advantages of our approach.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference42 articles.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Study on data storage and verification methods based on improved Merkle mountain range in IoT scenarios;Journal of King Saud University - Computer and Information Sciences;2024-07

2. Provenance Verification of Smart Contracts: Analysing the Cost of Ensuring Authenticity over the Logic Hosted in Blockchain Networks;Information;2023-12-31

3. Soil Data Storage Framework based on Blockchain and Improved Merkle Mountain Range;Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence;2023-12-08

4. Provenance blockchain for ensuring IT security in cloud manufacturing;Frontiers in Blockchain;2023-11-09

5. Framework for Data Provenance Assurance in Cloud Environment using Ethereum Blockchain;ICST Transactions on Scalable Information Systems;2023-10-09

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