摘要
数据作为生产要素,通常采用采集、传输、存储、处理、交换、销毁6个过程来描述其生命周期,在每个生命周期结合具体业务场景进行安全需求分析。在数据生命周期中存在各种威胁和风险,随着数据参与生产的场景增多,数据开放的程度不断加深,迫切需要建立覆盖数据全生命周期的安全监测和防护能力框架。
As a production element,data usually uses six processes of collection,transmission,storage,processing,exchange,and destruction to describe its life cycle.In each life cycle,security requirements are analyzed based on specific business scenarios.There are various threats and risks in the data life cycle.As the number of scenarios in which data participates in production increases and the degree of data openness continues to deepen,there is an urgent need to establish a framework for security monitoring and protection capabilities.
作者
唐雯炜
李东风
TANG Wenwei;LI Dongfeng(Information Technology Center,Zhejiang Chinese Medical University,Hangzhou Zhejiang 310053,China)
出处
《信息与电脑》
2024年第4期172-174,共3页
Information & Computer
基金
浙江中医药大学2023年校级科研项目——数据安全的研究与实践(项目编号:2023JKSKTS14)
中国高校产学研创新基金资助课题——数据安全治理体系建设及其关键技术研究与应用(项目编号:2022HS021)。
