Research Article
Architecture Design of Employment Education Network Platform Based on Blockchain Technology
@INPROCEEDINGS{10.1007/978-3-031-50549-2_7, author={Weiwei Zhang}, title={Architecture Design of Employment Education Network Platform Based on Blockchain Technology}, proceedings={Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part III}, proceedings_a={ADHIP PART 3}, year={2024}, month={3}, keywords={Blockchain Technology Employment Education Network Platform Platform Architecture Residual Neural Network}, doi={10.1007/978-3-031-50549-2_7} }- Weiwei Zhang
Year: 2024
Architecture Design of Employment Education Network Platform Based on Blockchain Technology
ADHIP PART 3
Springer
DOI: 10.1007/978-3-031-50549-2_7
Abstract
The Employment education network platform because of its convenience its business has been rapid development, too much platform integration and paid knowledge spread also breeds the platform and users and users and users with data sharing security issues. At the same time, the development of Internet technology also increases the education platform knowledge rights protection and fight against piracy difficulty. To this end, the employment education network platform architecture based on blockchain technology is designed. Based on blockchain technology, an employment and education network platform composed of network layer, infrastructure layer and business application layer was built. Intelligent contract was compiled by online editor Remix to design intelligent contract function of employment and education network. Based on the integral incentive mechanism contract, the teaching resource sharing function is designed. Design employment education data recommendation function based on residual neural network. The test results of the platform show that the fastest response time of the platform is 1.24 s, and the maximum amount of data that the platform can manage at the same time is 40000 Byte when the user visits are 5000 times. The platform can operate normally and has extremely high operating efficiency.
