Application of Blockchain Based on Deep Learning Algorithm in Enterprise Internet of Things System

Abstract

The purpose of an IoT enterprise business system is to form a global open network structure. The main task of this process is to build the Internet of Things system based on the internal enterprise, and link the upstream and downstream enterprises to interact with the Internet of Things system. However, existing blockchain systems often have limited performance and capacity, so they cannot be used in many scenarios, resulting in reduced scalability. The most common solution is to use the deep learning algorithm to find the optimal blockchain parameters. Based on deep learning and blockchain technology, this article proposes an enterprise Internet of Things system, which divides the whole Internet of Things into three layers - device layer, edge layer, and application layer, so as to build a reliable edge layer platform, so as to integrate the application network and blockchain network of the enterprise Internet of Things system and ensure the data security of the enterprise Internet of Things system. Finally, in order to verify the design proposed in this article, we build a distributed IoT business system, implement the deployment of experimental datasets on multiple hardware platforms, and design experiments to verify the security and effectiveness of the system designed in this work. By using blockchain technology based on the deep learning algorithm, the accuracy and time efficiency of the enterprise Internet of Things system are improved, and the burden of enterprise operators is greatly reduced. This article studies the deep learning algorithm and blockchain technology, and applies it to the design process of the enterprise Internet of Things system, thus promoting the development of the enterprise Internet of Things system.