摘要
终端安全管理系统是中国气象局信息安全防护体系的重要组成部分,为业务系统和办公网络的各类终端提供基本的安全保证。但是终端安全管理系统在气象业务环境下还没有形成有效的研究和经验积累。随着全国气象业务系统面临的安全风险不断增加,探索气象业务系统部署终端安全防护系统,保证气象数据的安全性的问题亟待解决。文中以气象业务系统的终端数据安全为出发点,根据中国气象局信息网络一体化建设的需要,结合CIMISS等业务系统的数据流转过程,通过研究在业务系统建立终端安全防护机制,引入一定的机器学习算法对安全事件进行分析与分类,在一定的范围内对安全事件进行归纳总结,发现存在的深层次问题并进行针对性整改,从而大幅降低终端用户的安全风险。
Terminal security management system,which is an important part of the information security protection system of China Meteorological Administration,provides basic security guarantee for all kinds of terminals of business system and office network.However,the terminal security management system has not formed an effective research and experience accumulation in the meteorological service environment.With the increasing security risks faced by the national meteorological service system,it is urgent to explore the deployment of terminal security protection system in the meteorological service system to ensure the security of meteorological data.The terminal data security of meteorological service system is taken as the starting point.According to the requirements of the information network integration construction of China Meteorological Administration,combined with the data flow process of CIMISS and other business systems,the terminal security protection mechanism is established in the business system through research,and a certain machine learning algorithm is introduced to analyze and classify security events which are summarized within a certain range.We discover the deep-seated problems and carry out targeted rectification,so as to significantly reduce the security risks of end users.
作者
钟磊
张斌武
何恒宏
ZHONG Lei;ZHANG Bin-wu;HE Heng-hong(National Meteorological Information Center,Beijing 100081,China)
出处
《计算机技术与发展》
2020年第1期206-210,共5页
Computer Technology and Development
基金
国家公益性行业(气象)科研专项(GYHY201406016)
关键词
终端安全
气象系统
多级备份
机器学习
terminal security
meteorological system
multi-level backup
machine learning
