信息安全研究 ›› 2015, Vol. 1 ›› Issue (3): 211-216.

• 大数据专题 • 上一篇    下一篇

健全大数据安全保障体系研究

吕欣   

  1. 国家信息中心
  • 收稿日期:2015-12-14 出版日期:2015-12-15 发布日期:2016-01-18
  • 通讯作者: 吕欣
  • 作者简介:吕欣 博士,国家信息中心副研究员,主要研究方向为网络安全评价体系、网络安全战略、网络空间安全体系结构. lux@cei.gov.cn 韩晓露 博士研究生,高级工程师,主要研究方向为大数据与大数据安全、工业工程与信息化.

Research on the Architecture of Big Data Security Assurance System Improved

Lv Xin   

  1. The Postdoctoral Scientific Research Workstation of State Information Center
  • Received:2015-12-14 Online:2015-12-15 Published:2016-01-18
  • Contact: Lv Xin

摘要: 国务院《促进大数据发展行动纲要》提出,要加强大数据环境下的网络安全问题研究和基于大数据的网络安全技术研究,健全大数据安全保障体系.在研究分析大数据面临的安全环境和威胁挑战的基础上,基于系统工程方法,提出了一个大数据安全与隐私保护体系架构的多维空间立体模型,并采用模型抽象法构建实施大数据安全和隐私保护的结构层次模型,从战略规划、安全运作管理和安全技术保障3个维度设计提出了大数据安全保障技术方案.此外,还研究了大数据安全与隐私保护保障过程模型,为建立可持续提升的大数据安全和隐私保护能力提供技术参考.

关键词: 大数据安全保障体系, 安全威胁, 大数据安全和隐私保护, 安全保障, 大数据

Abstract: In the outline for action to promote the development of big data, appeal was made by the state council of the Peoples Republic of China that the research in the cyber security issues and the cyber security technology should be strengthened under the big data environment and that big data security assurance system should be improved. Based on the analysis of big data security environment and big data security threats and challenges, this paper proposes a multi dimension space model of big data security and privacy assurance system based on the system engineering theory, constructs the architecture model of big data security and privacy assurance system by using the model abstract method, and designs the technical proposal of big data security and privacy assurance in the perspective of strategic planning, security operation management, and security technology. In addition, this paper studies the process model of big data security and privacy assurance, and provides a technical reference for the sustainable ability establishment of big data security and privacy.

Key words: big data security assurance system, security threats, big data security and privacy, security assurance, big data