Author:
Yu Xiaomo,Li Wenjing,Zhou Xiaomeng,Tang Ling,Sharma Rohit
Abstract
AbstractThis study aims to explore the construction of a personalized recommendation system (PRS) based on deep learning under the hybrid blockchain model to further improve the performance of the PRS. Blockchain technology is introduced and further improved to address security problems such as information leakage in PRS. A Delegated Proof of Stake-Byzantine Algorand-Directed Acyclic Graph consensus algorithm, namely PBDAG consensus algorithm, is designed for public chains. Finally, a personalized recommendation model based on the hybrid blockchain PBDAG consensus algorithm combined with an optimized back propagation algorithm is constructed. Through simulation, the performance of this model is compared with practical Byzantine Fault Tolerance, Byzantine Fault Tolerance, Hybrid Parallel Byzantine Fault Tolerance, Redundant Byzantine Fault Tolerance, and Delegated Byzantine Fault Tolerance. The results show that the model algorithm adopted here has a lower average delay time, a data message delivery rate that is stable at 80%, a data message leakage rate that is stable at about 10%, and a system classification prediction error that does not exceed 10%. Therefore, the constructed model not only ensures low delay performance but also has high network security performance, enabling more efficient and accurate interaction of information. This solution provides an experimental basis for the information security and development trend of different types of data PRSs in various fields.
Funder
National Natural Science Foundation of China
Natural Science Foundation of Guangxi Province
Project of National Ethnic Affairs Commission of China
Guangxi innovation-driven development of special funds project
Vocational Education Teaching Reform Research Project of Guangxi
Middle-aged and Young Teachers' Basic Ability of Scientific Research Promotion Project of Guangxi
Philosophy and Social Science Foundation of Guangxi
Higher Education Undergraduate Teaching Reform Project of Guangxi
The Open Research Fund of Guangxi Key Lab of Human-machine Interaction and Intelligent Decision
Construction project of Practice conditions and practice Base for industry-university cooperation of the Ministry of Education
Publisher
Springer Science and Business Media LLC