Journal of Information Security Research ›› 2016, Vol. 2 ›› Issue (3): 244-250.

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Research on The Technology Architecture of Big Data Security and Privacy System

Lv Xin   

  1. The Postdoctoral Scientific Research Workstation of State Information Center
  • Received:2016-03-15 Online:2016-03-15 Published:2016-03-16
  • Contact: Lv Xin



  1. 国家信息中心
  • 通讯作者: 吕欣
  • 作者简介: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.

Abstract: In the era of Big Data, data security and privacy face a lot of technical challenges in the aspects of security architecture, data privacy, data management, integrity and proactive security protection. Based on the analysis of technical challenges of big data security and privacy protection, this paper proposes a reference model of the technology architecture of big data security and privacy system, and researches on the key technology and the latest progress of big data security and privacy, focusing on data layer security, application layer security, interface layer security and system layer security. It provides an effective technical reference for establishing big data security and privacy system.

Key words: big data, security threats, big data security, privacy, technology architecture of big data security and privacy

摘要: 大数据时代,大数据安全和隐私保护在安全架构、数据隐私、数据管理和完整性、主动性的安全防护面临诸多的技术挑战.在分析大数据安全和隐私保护技术挑战的基础上,提出大数据安全和隐私保护技术体系参考模型,并从数据层安全防护、应用层安全防护、接口层安全防护以及系统层安全防护对大数据安全和隐私保护的关键技术及其最新进展进行研究,为解决大数据安全和隐私保护提供有效的技术方法借鉴.

关键词: 大数据, 安全威胁, 大数据安全, 隐私保护, 大数据安全技术体系架构