arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2204.04769cs.CR
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知识图谱在网络安全中的应用

A review of knowledge graph application scenarios in cyber security

Kai Liu, Fei Wang, Zhaoyun Ding, Sheng Liang, Zhengfei Yu, Yun Zhou

摘要:

面对动态复杂的网络环境、内外部网络威胁情报以及日益增长的网络攻击风险,知识图谱因其具有的知识聚合、表示、管理和推理能力在网络安全领域显示出巨大的应用潜力。然而,虽然大多数研究都集中在如何开发一个完整的知识图谱,但如何应用知识图谱来解决网络攻击和防御场景中的工业实际挑战仍然不清楚。本文简要介绍了网络安全知识图谱的基本概念、模式和构建方法。为了促进未来的网络安全知识图谱的研究,我们还提出了一个策划收集的数据集和开源库的知识构建和信息抽取任务。在本文的主要部分,我们进行了比较审查的不同作品,阐述了最近的进展,在网络安全知识图谱的应用场景。在此基础上,提出了一个新的综合分类框架,从九大类和十八个小类来描述相关作品。最后,在讨论现有研究缺陷的基础上,对几个有前景的研究方向进行了深入的展望。

英文摘要:

Facing the dynamic complex cyber environments, internal and external cyber threat intelligence, and the increasing risk of cyber-attack, knowledge graphs show great application potential in the cyber security area because of their capabilities in knowledge aggregation, representation, management, and reasoning. However, while most research has focused on how to develop a complete knowledge graph, it remains unclear how to apply the knowledge graph to solve industrial real challenges in cyber-attack and defense scenarios. In this review, we provide a brief overview of the basic concepts, schema, and construction approaches for the cyber security knowledge graph. To facilitate future research on cyber security knowledge graphs, we also present a curated collection of datasets and open-source libraries on the knowledge construction and information extraction task. In the major part of this article, we conduct a comparative review of the different works that elaborate on the recent progress in the application scenarios of the cyber security knowledge graph. Furthermore, a novel comprehensive classification framework is created to describe the connected works from nine primary categories and eighteen subcategories. Finally, we have a thorough outlook on several promising research directions based on the discussion of existing research flaws.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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