SEMSO: A Secure and Efficient Multi-Data Source Blockchain Oracle

TL;DR

SEMSO introduces a secure, efficient multi-data source blockchain oracle that reduces resource overhead and response time by accessing only one data source per node, while ensuring data reliability and diversity.

Contribution

The paper proposes SEMSO, a novel framework combining a low-cost off-chain data aggregation protocol and Bayesian game-based data source selection to improve efficiency and security.

Findings

Reduces response time by 23.5% compared to existing methods.

Ensures data source diversity and reliability with lower resource overhead.

Enhances system security and data integrity through rigorous analysis.

Abstract

In recent years, blockchain oracle, as the key link between blockchain and real-world data interaction, has greatly expanded the application scope of blockchain. In particular, the emergence of the Multi-Data Source (MDS) oracle has greatly improved the reliability of the oracle in the case of untrustworthy data sources. However, the current MDS oracle scheme requires nodes to obtain data redundantly from multiple data sources to guarantee data reliability, which greatly increases the resource overhead and response time of the system. Therefore, in this paper, we propose a Secure and Efficient Multi-data Source Oracle framework (SEMSO), which nodes only need to access one data source to ensure the reliability of final data. First, we design a new off-chain data aggregation protocol TBLS, to guarantee data source diversity and reliability at low cost. Second, according to the rational man assumption, the data source selection task of nodes is modeled and solved based on the Bayesian game under incomplete information to maximize the node's revenue while improving the success rate of TBLS aggregation and system response speed. Security analysis verifies the reliability of the proposed scheme, and experiments show that under the same environmental assumptions, SEMSO takes into account data diversity while reducing the response time by 23.5\%.