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。
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.