Intelligent flow detection in hospital microservices platform security operation and maintenance management system based on genetic algorithm optimized LightGBM algorithm
10.3969/j.issn.1005-202X.2024.06.019
- VernacularTitle:基于遗传算法优化LightGBM算法的医院微服务平台安全运维管理系统的流量智能化检测
- Author:
Yichao ZHUO
1
;
Haibin HAO
Author Information
1. 温州医科大学附属第一医院信息处,浙江温州 325000
- Keywords:
microservices platform;
operation and maintenance management system;
genetic algorithm;
LightGBM
- From:
Chinese Journal of Medical Physics
2024;41(6):788-792
- CountryChina
- Language:Chinese
-
Abstract:
A novel data detection algorithm is proposed to improve the data detection efficiency of the operation and maintenance management system for the hospital microservices platform.Based on the multiple characteristics of the platform data,the algorithm constructs the overall framework of the operation and maintenance management system.By combining the parameter optimization ability of genetic algorithm and the rapid detection ability of LightGBM algorithm,the effective detection of the flow data in the operation and maintenance management system is realized.The effectiveness of the model is verified through a control test,and the results show that the proposed method performs the best in intelligent flow detection,achieving accuracy of 0.981 0,recall rate of 0.68 and F1 value of 0.77 which are all higher than those of the traditional methods.
