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

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Xian, Youquan, Zeng, Xueying, Li, Chunpei, Wang, Peng, Li, Dongcheng, Liu, Peng, Li, Xianxian
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866914974597644288
author Xian, Youquan
Zeng, Xueying
Li, Chunpei
Wang, Peng
Li, Dongcheng
Liu, Peng
Li, Xianxian
author_facet Xian, Youquan
Zeng, Xueying
Li, Chunpei
Wang, Peng
Li, Dongcheng
Liu, Peng
Li, Xianxian
contents 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\%.
format Preprint
id arxiv_https___arxiv_org_abs_2410_12540
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle SEMSO: A Secure and Efficient Multi-Data Source Blockchain Oracle
Xian, Youquan
Zeng, Xueying
Li, Chunpei
Wang, Peng
Li, Dongcheng
Liu, Peng
Li, Xianxian
Cryptography and Security
Distributed, Parallel, and Cluster Computing
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\%.
title SEMSO: A Secure and Efficient Multi-Data Source Blockchain Oracle
topic Cryptography and Security
Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2410.12540