节点文献
政务大数据安全架构研究
Research on Reference Architecture for Government Big Data Security
【摘要】 政府信息化建设经历了从政务信息电子化、计算机化、网络化的渐变过程,而政务大数据是政务信息发展的新阶段,这一阶段的特点是开放、共享、动态、实时、智能.针对这些特点和目前政务大数据建设的现实状况,对政务大数据平台建设的技术和管理上的挑战问题及安全基本原则进行了梳理,提出了一种新型的政务大数据管理组织结构和相应的安全平台架构,并给出了具体的安全监管体系和安全保障措施.该模型与美国标准化组织NIST提出的大数据安全参考模型相比较,结构更加简单,安全层次和功能要求更加明确,更易于实现和理解.上述工作可满足当前大数据安全管理的系统规划和现实需求,对今后我国政务云平台架构、政务大数据系统规划以及安全监管具有现实指导意义.
【Abstract】 Government informatization has gradually moved from electronic and computerized information, to networked government information, and government big data(GBD) is a new stage in government informatization development. This stage features openness,sharing,dynamic, real-time and intelligence. In view of these features and the current situation of government big data development, this paper analyzes the technical and managemental challenges and basic security principles of the GBD platform development. Based on analysis, this paper proposes a new kind of reference architecture for GBD security based on an appropriate management organization structure. The paper also reviews related security regulatory mechanisms and security measures of this architecture. Compared to the US government’s national institute of standards and technology(NIST) big data reference architecture, the proposed architecture is simpler, has a higher security level, clearer functional requirements, and is easier to implement.The proposed architecture can meet the actual current needs of big data security management,and has practical value in guiding the future government cloud platform,and security design and regulation of the GBD system.
【Key words】 government big data security; reference architecture; basic security principles; security measures; regulatory mechanisms;
- 【文献出处】 信息安全研究 ,Journal of Information Security Research , 编辑部邮箱 ,2019年05期
- 【分类号】D63;TP309.2
- 【被引频次】11
- 【下载频次】414