Abstract
In the big data era, data are envisioned as critical resources with various values, e.g., business intelligence, management efficiency, and financial evaluations. Data sharing is always mandatory for value exchanges and profit promotion. Currently, certain big data markets have been created for facilitating data dissemination and coordinating data transaction, but we have to assume that such centralized management of data sharing must be trustworthy for data privacy and sharing fairness, which very likely imposes limitations such as joining admission, sharing efficiency, and extra costly commissions. To avoid these weaknesses, in this paper, we propose a blockchain-based fair data exchange scheme, called FaDe. FaDe can enable de-centralized data sharing in an autonomous manner, especially guaranteeing trade fairness, sharing efficiency, data privacy, and exchanging automation. A fairness protocol based on bit commitment is proposed. An algorithm based on blockchain script architecture for a smart contract, e.g., by a bitcoin virtual machine, is also proposed and implemented. Extensive analysis justifies that the proposed scheme can guarantee data exchanging without a trusted third party fairly, efficiently, and automatically.
Highlights
The rise of new computing paradigms has accumulated huge amounts of data, such as cloud computing, ubiquitous computing, mobile internet, and the Internet of Things
The big data era is coming, while data begin to be endowed with value, e.g., consumer behavior data for new business models, crowd sensing data for traffic predication, participant sensing for social computing, and so on
Shi proposes a secure and lightweight triple-trusting architecture (SLTA), which is based on blockchain [16]
Summary
The rise of new computing paradigms has accumulated huge amounts of data, such as cloud computing, ubiquitous computing, mobile internet, and the Internet of Things. Speaking, we suggest that data buyers can choose a random part of data to read before deciding whether to continue buying it or not The selection of such trial data has two advantages: it allows data buyers to evaluate the availability and authenticity of intended data, and it does not damage the profit of data owners due to few data leakages. In this approach, we still encounter two challenges: designing a protocol that can be implemented in the BTC script framework to ensure that the data and fee can be distributed to both parties at the same time without any trusted third party, in order to maintain the fairness of transactions.
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