信息网络安全 ›› 2016, Vol. 16 ›› Issue (9): 18-25.doi: 10.3969/j.issn.1671-1122.2016.09.004

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立体动态的大数据安全防护体系架构研究

刘鸿霞(), 李建清, 张锐卿   

  1. 北京天融信科技股份有限公司,北京 100085
  • 收稿日期:2016-07-25 出版日期:2016-09-20 发布日期:2020-05-13
  • 作者简介:

    作者简介: 刘鸿霞(1976—),女,河北,高级工程师,硕士,主要研究方向为数据治理、大数据与大数据安全、网络空间安全体系;李建清(1974—),男,福建,高级工程师,博士,主要研究方向为物联网安全、数据安全;张锐卿(1975—),男,河北,工程师,本科,主要研究方向为大数据与大数据安全、云计算、虚拟化。

Research on the Three-dimensional Dynamic Big Data Security Protection Architecture

Hongxia LIU(), Jianqing LI, Ruiqing ZHANG   

  1. Topsec Technologies Inc., Beijing 100085, China
  • Received:2016-07-25 Online:2016-09-20 Published:2020-05-13

摘要:

大数据时代,安全与隐私成为公认的问题。大数据的应用是跨学科领域集成的应用,涉及很多新技术,为大数据的安全建设提出不小的挑战。文章通过对大数据面临的主要管理风险和技术风险进行分析,并对适用于大数据安全防护的技术进行研究,提出一种适用于大数据环境的数据安全防护架构。解决大数据安全问题,需要将治理体系、管理体系和技术支撑体系相结合,解决不同层次的安全问题。大数据安全治理体系解决数据利益攸关者之间的责、权、利问题,制定数据安全治理的目标以及安全策略。大数据管理体系通过安全管理流程实现数据治理的目标,落实各项安全策略。大数据技术支撑体系通过产品和技术将安全管理各流程落实到信息系统中。文章对大数据安全防护体系涉及的安全技术进行简单介绍,对数据采集层、大数据存储与计算平台、数据服务层、大数据安全综合管理中心等的关键技术和实现要求进行描述,以期解决大数据安全管理的有关问题。

关键词: 大数据, 隐私保护, 安全管理, 安全技术体系

Abstract:

In the era of big data, security and privacy has become a recognized problem. The application of big data is the application of interdisciplinary field, which involves many new technologies and puts forward a big challenge for its security construction. Based on the main management risks and technical risks analyses and the study for big data security protection technology, this paper proposes big data security protection architecture for big data environment. To solve the big data security issues, governance system, management system and technical support system should be combined to solve the different security issues hierarchically. Big data governance system solves the responsibilities, rights and interests issues of stakeholders, and formulates the data security governance objectives and security policies. Big data management system achieves the goal of big data governance system through the security management process, and implements the security policies. Big data technical support system carries out security management processes in information system by using products and technologies. This paper introduces briefly the security technologies of big data security protection architecture. Through the descriptions of data collection layer, data storage and computing platform, data service layer and big data security integrated management center, this paper wants to solve the problems of big data security management.

Key words: big data, privacy protection, security management, security technology system

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