基于大数据分析的疾控系统网络安全策略研究  

Research on Network Security Strategy of Disease Control System Based on Big Data Analytics

作　　者：刘曦[1] LIU Xi(Tianjin Hongqiao District Center for Disease Control and Prevention,Tianjin 300000,China)

机构地区：[1]天津市红桥区疾病预防控制中心,天津300000

出　　处：《移动信息》2025年第4期190-192,共3页Mobile Information

摘　　要：文中提出了一种基于大数据分析的疾控系统网络安全策略,通过Kafka与Fluentd实时采集数据,使用孤立森林和随机森林算法进行异常检测与攻击分类,结合Ansible自动化防护、AES与RSA加密保障数据安全。实验结果表明,该策略在检测准确率、响应速度和数据安全性方面均优于传统策略,提升了疾控系统的网络防护能力。This paper proposes a network security strategy for disease control system based on big data analytics.It collects data in real time through Kafka and Fluentd,uses isolated forest and random forest algorithms for anomaly detection and attack classification,and combines Ansible automatic protection,AES and RSA encryption to ensure data security.Experimental results show that this strategy outperforms traditional strategies in detection accuracy,response speed and data security,and improves the network protection ability of disease control system.

关 键 词：大数据分析 疾控系统 网络安全策略 

分 类 号：TN915.08[电子电信—通信与信息系统]