DataMesh+: A Blockchain-Powered Peer-to-Peer Data Exchange Model for Self-Sovereign Data Marketplaces

Author:

Merlec Mpyana Mwamba1ORCID,In Hoh Peter12ORCID

Affiliation:

1. Department of Computer Science and Engineering, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea

2. DAO Solution, Inc., 169, Yeoksam-ro, Gangnam-gu, Seoul 06247, Republic of Korea

Abstract

In contemporary data-driven economies, data has become a valuable digital asset that is eligible for trading and monetization. Peer-to-peer (P2P) marketplaces play a crucial role in establishing direct connections between data providers and consumers. However, traditional data marketplaces exhibit inadequacies. Functioning as centralized platforms, they suffer from issues such as insufficient trust, transparency, fairness, accountability, and security. Moreover, users lack consent and ownership control over their data. To address these issues, we propose DataMesh+, an innovative blockchain-powered, decentralized P2P data exchange model for self-sovereign data marketplaces. This user-centric decentralized approach leverages blockchain-based smart contracts to enable fair, transparent, reliable, and secure data trading marketplaces, empowering users to retain full sovereignty and control over their data. In this article, we describe the design and implementation of our approach, which was developed to demonstrate its feasibility. We evaluated the model’s acceptability and reliability through experimental testing and validation. Furthermore, we assessed the security and performance in terms of smart contract deployment and transaction execution costs, as well as the blockchain and storage network performance.

Funder

National Research Foundation of Korea

Technology Incubator Program for Startup (TIPS) Program

Korea University

Publisher

MDPI AG

Reference78 articles.

1. IDC, and Statista Inc. (2023, December 10). Volume of Data/Information Created, Captured, Copied, and Consumed Worldwide from 2010 to 2020, with Forecasts from 2021 to 2025 (in Zettabytes). Available online: https://www.statista.com/statistics/871513/worldwide-data-created/.

2. Statista Inc. (2023, December 10). Fortune Business Insights. Available online: https://www.statista.com/statistics/1336002/big-data-analytics-market-size/.

3. Kai, K., Poikola, A., and Honko, H. (2023, December 10). Mydata a Nordic Model for Human-Centered Personal Data Management and Processing. Available online: https://julkaisut.valtioneuvosto.fi/bitstream/handle/10024/78439/MyData-nordic-model.pdf.

4. Peer-to-peer data trading to preserve information;Cooper;ACM Trans. Inf. Syst.,2002

5. Data marketplaces: Trends and monetisation of data goods;Spiekermann;Intereconomics,2019

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