计算机应用研究2024，Vol.41Issue(6)：1635-1639,5.DOI:10.19734/j.issn.1001-3695.2023.10.0516
区块链预言机节点选择的深度强化学习中间件
Deep reinforcement learning middleware for blockchain oracle node selection
徐莉程 1梁培利1
作者信息
- 1. 成都信息工程大学 区块链产业学院,成都 610225
- 折叠
摘要
Abstract
This paper aimed to optimize the node selection problem in existing oracle machine schemes in the blockchain envi-ronment in order to improve the accuracy and reliability of oracle machine node selection.This paper introduced ORLM,a deep reinforcement learning based middleware for blockchain prophecy machine node selection.This middleware considered the consumption of multiple nodes under different service demands and modeled the reputation value of the prophecy machine nodes to sick the reputation value of the oracle machine data-providing nodes,thus avoiding the selection of nodes with mali-cious history as much as possible.With the deep reinforcement learning DQN algorithm,the middleware is able to optimize the process of selecting nodes for better node selection with security.The experimental results show that the oracle middleware is able to better satisfy the service requests of users.And it has high scalability and availability.It proves that the introduction of deep reinforcement learning to optimize the oracle node selection is a feasible direction.关键词
区块链/深度强化学习/预言机/DQNKey words
blockchain/deep reinforcement learning/oracle/DQN分类
信息技术与安全科学引用本文复制引用
徐莉程,梁培利..区块链预言机节点选择的深度强化学习中间件[J].计算机应用研究,2024,41(6):1635-1639,5.
