App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 6

Deep reinforcement learning middleware for blockchain oracle node selection

Xu Licheng
Liang Peili
Blockchain Industry College, Chengdu University of Information Engineering, Chengdu 610225, China
DOI: 10.19734/j.issn.1001-3695.2023.10.0516

Abstract

The aim of this paper is to optimize the node selection problem in existing oracle machine schemes in the blockchain environment in order to improve the accuracy and reliability of oracle machine node selection. This paper introduces ORLM (Oracle Reinforcement Learning Modles) , a deep reinforcement learning based middleware for blockchain prophecy machine node selection. This middleware considers the consumption of multiple nodes under different service demands and models 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 malicious history as much as possible. With the deep reinforcement learning DQN (Deep Q Network) 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.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.10.0516
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 6

Publish History

[2024-01-12] Accepted Paper

Cite This Article

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). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.10.0516. (Xu Licheng, Liang Peili. Deep reinforcement learning middleware for blockchain oracle node selection [J]. Application Research of Computers, 2024, 41 (6). (2024-04-10). https://doi.org/10.19734/j.issn.1001-3695.2023.10.0516. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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