大数据安全和隐私保护技术架构研究

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

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.

In the era of Big Data,data security and privacy face a lot of technical challenges in theaspects of security architecture,data privacy,data management,integrity and proactive security protection. Based on the analysts of technical challenges of big data security and privacy protecrlon,this paper proposes a reference model of the technology architecture of big data security and p riva cytystem,and researches on the key technology and the latest progress of big data security and privacy,focuringon data layer security,applicaelon layer security,interface layer security and system layer security. It provides an ertecrive technical reference for establishing big data security and privacy system.