摘要
[目的/意义]面向大数据云服务网络环境下的医院信息资源安全管理,已经成为医院网络服务建设与管理面临的重要问题之一.[方法/过程]利用分布式计算软件框架的Flume日志采集器和Pig数据流采集工具进行入侵用户日志信息采集,运用改进Apriori算法进行网络入侵用户信息的关联规则挖掘分析.[结果/结论]数据挖掘技术有助于提升医院内网信息资源访问、传输过程中的安全管理质量,更好地服务于医院医疗业务的智能化安全管理.
[Purpose/Significance]The security management of hospital information resources in the big data cloud service network environment has become one of the important problems faced by the construction and management of hospital network services.[Method/Process]In this paper,the Flume log collector and Pig data flow collection tool using the Hadoop distributed software framework are used as the log information collection of intrusion users,and the improved Apriori algorithm is used as the correlation rule mining and analysis of network intrusion user information.[Results/Conclusion]Data mining technology can help improve the quality of security management during the access and transmission of hospital intranet information resources,and better serve the intelligent security management of hospital medical services.
作者
郭馨
Guo Xin(Suzhou Municipal Hospital of Anhui Province,Anhui Suzhou 234000)
出处
《网络空间安全》
2024年第4期357-360,共4页
Cyberspace Security
作者简介
郭馨(1987-),女,汉族,安徽宿州人,安徽大学,硕士,安徽省宿州市立医院,工程师,主要研究方向和关注领域:软件应用与管理、数据平台应用。
