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大数据安全与自主可控
  • ISSN号:0023-074X
  • 期刊名称:《科学通报》
  • 时间:0
  • 分类:TP309.2[自动化与计算机技术—计算机系统结构;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]国家并行计算机工程技术研究中心,北京100080
  • 相关基金:国家自然科学基金重点项目(51436007)和国家重点基础研究发展计划(2013CB228304)资助
中文摘要:

继互联网、物联网、云计算之后,大数据已成为当今信息技术领域的发展热点.大数据在带来“大”价值的同时,也存在“大”安全问题.大数据的基本特征对计算设施、存储、网络、信息资源等提出了更高的安全要求,传统的信息安全手段和管理机制已经跟不上大数据时代的信息安全形势发展.本文在研究大数据安全新特点的基础上,分析了我国大数据发展面临的信息基础设施自主可控程度低、安全防护技术和手段不足等问题;阐述了自主可控对大数据安全的重要性和意义,明确了解决大数据安全的根本之道在于实现我国主要信息产品、设备和技术的自主设计制造,并总结了我国在大数据安全领域自主可控产品的发展现状.大数据安全事关国家安全,本文最后从加强大数据战略规划和安全体系建设、构建中国特色自主可控的发展路线、强化大数据技术在信息安全领域的创新应用等3个方面,探讨提出了解决我国大数据安全的策略和办法,以确保我国大数据时代的信息安全逐步朝着体系化、规范化和技术自主可控的方向发展.

英文摘要:

As a result of the Internet, the Internet of Things, and cloud computing, big data is becoming a focal area in current IT research. Besides providing significant value, big data also brings about large security problems. The key characteristics of big data require higher standards for computing infrastructure, storage, networks, information resources, and so on. Traditional information security measures and management mechanisms can no longer keep up with the requirements of information security in the big data era. Based on research on new security features of big data, this article analyses the problems faced by big data development in our country, such as the low degree of independence and controllability of the information infrastructure, and the lack of secure protection technologies and measures. The article also describes the importance and meaning of independence and controllability of the security of big data, suggests that the fundamental way of solving big data security is the independent design and manufacture of our main information products, devices, and technologies, and summarizes the current development of independent and controllable products in the big data security area. Big data security is related to the security of our country, and this article finally proposes various policies and methods to solve big data security in our country from three aspects, namely, enhancing strategic planning and construction of a security system for big data, building independent and controllable development guidelines with Chinese characteristics, and strengthening the innovative application of big data technology in the information security area. These steps would ensure that in the big data era, the development of information security in our country follows the direction of systematization and standardization, as well as independent and controllable technologies.

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期刊信息
  • 《科学通报》
  • 北大核心期刊(2011版)
  • 主管单位:中国科学院
  • 主办单位:中国科学院
  • 主编:周光召
  • 地址:北京东黄城根北街16号
  • 邮编:100717
  • 邮箱:csb@scichina.org
  • 电话:010-64036120 64012686
  • 国际标准刊号:ISSN:0023-074X
  • 国内统一刊号:ISSN:11-1784/N
  • 邮发代号:80-213
  • 获奖情况:
  • 首届国家期刊奖,中国期刊方阵“双高”期刊,第三届中国出版政府奖
  • 国内外数据库收录:
  • 美国化学文摘(网络版),美国数学评论(网络版),美国工程索引,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:81792