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文章基本信息

  • 标题:APT安全检测体系架构及关键技术研究
  • 其他标题:The Study of APT Security Detection Architecture and Key Technologies
  • 本地全文:下载
  • 作者:刘怡文 ; 黄 琼 ; 余 静
  • 期刊名称:Journal of Security and Safety Technology
  • 印刷版ISSN:2330-4677
  • 电子版ISSN:2330-4685
  • 出版年度:2015
  • 卷号:03
  • 期号:03
  • 页码:24-29
  • DOI:10.12677/JSST.2015.33005
  • 出版社:Hans Publishers
  • 摘要:本文分析了现有APT攻击检测技术及存在的问题,提出了APT安全检测体系架构和APT检测的关键技术,给出了APT时域关联规则挖掘算法,采用大数据分析技术构建了安全知识库;并提出了基于分类的APT攻击检测方法。
  • 其他摘要:In this paper, by analyzing some drawbacks of the existing APT attack detection technology, APT security detection architecture and its key technologies have been proposed. Among this, a mining algorithm for APT time-domain association rule was given, and the security knowledge base was created using large-data analysis technology. Furthermore an APT attack detection method based on classification was proposed, which occupied significant roles in the APT security detection architecture.
  • 关键词:APT攻击 ; 大数据分析 ; 数据挖掘 ; 知识发现 ; 攻击检测 ; APT Attack ; Large-Data Analysis ; Data Mining ; Knowledge Discovery ; Attack Detection
  • 其他关键词:APT攻击 ; 大数据分析 ; 数据挖掘 ; 知识发现 ; 攻击检测 ; APT Attack ; Large-Data Analysis ; Data Mining ; Knowledge Discovery ; Attack Detection
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