图书情报工作 ›› 2016, Vol. 60 ›› Issue (6): 15-20.DOI: 10.13266/j.issn.0252-3116.2016.06.002

• 理论研究 • 上一篇    下一篇

论大数据时代的威胁情报

范佳佳   

  1. 上海社会科学院信息研究所 上海 200235
  • 收稿日期:2015-11-18 修回日期:2016-01-17 出版日期:2016-03-20 发布日期:2016-03-20
  • 作者简介:范佳佳(ORCID:0000-0001-7994-7376),助理研究员,博士,E-mail:fjiajia@sass.org.cn。
  • 基金资助:

    本文系国家社会科学基金重大项目"大数据与云环境下国家信息安全管理范式及政策路径研究"(项目编号:13&ZD185)研究成果之一。

Threat Intelligence in the Era of Big Data

Fan Jiajia   

  1. The Institute of Information, Shanghai Academy of Social Sciences, Shanghai 200235
  • Received:2015-11-18 Revised:2016-01-17 Online:2016-03-20 Published:2016-03-20

摘要:

[目的/意义] 初步论述信息安全界理论前沿,论述威胁情报及其相关热点问题,试图引入新的情报概念,开拓情报研究新的领域。[方法/过程] 通过文献调研、内容分析和归纳演绎,梳理出威胁情报的主要特点、基础性技术、实践现状与趋势、重要意义和未来研究方向。[结果/结论] 威胁情报:①将成为情报研究新的热点;②具有应用范围广泛、紧密跟踪和可用于信息安全管理决策的特征;③对国家信息安全管理和国家情报要素研究均具有重要意义;④与其相关的数据管辖与隐私保护、情报共享等问题将成为未来的研究重点。

关键词: 威胁情报, 信息安全, 大数据

Abstract:

[Purpose/significance] This paper primarily discussesthe information security theory frontier, elucidatesthe threat intelligence and related hot issues, and introduces a new concept toexplore the new field in intelligence research.[Method/process] Through literature research, content analysis, induction and deduction, this paper teases out the main characteristics,basic technologies, practical situations and development trends, significance,and future research directions ofthreat intelligence.[Result/conclusion] This paper concludes that threat intelligence will become a new research hot spot in the intelligence field through analysis. It has features witha wide range of applications, close traceability andusefulness for information security decision. It has a great meaning for national information security management and research on national intelligence elements. The issues of the data jurisdiction and privacy protection, information sharing related with it will become the focuses of future research. It will provide an important reference for intelligence theory research and practical exploration.

Key words: threat intelligence, information security, big data

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