图表:威胁行为者的知识图谱

Eric Khoo Jiun Hooi, A. Zainal, M. A. Maarof, Mohamad Nizam Kassim
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引用次数: 10

摘要

了解网络安全威胁形势,特别是有关威胁行为者的信息是一项具有挑战性的任务,因为这些信息通常是隐藏和分散的。网络新闻已成为网络安全人员了解这些威胁行为者所进行活动的流行和重要信息来源之一。本文通过构建威胁行为者本体和命名实体识别系统提取网络安全相关实体,提出了一种构建威胁行为者知识图谱的框架。生成的本体和模型可用于从文章中自动提取网络安全相关实体,并创建威胁者的知识图谱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TAGraph: Knowledge Graph of Threat Actor
Understanding of cybersecurity threat landscape especially information about threat actor is a challenging task as these information are usually hidden and scattered. The online news had became one of the popular and important source of information for cybersecurity personnels to understand about the activities conducted by these threat actors. In this paper, we propose a framework to create knowledge graph of threat actor by building ontology of threat actor and named entity recognition system to extract cybersecurity-related entities. The resulting ontology and model can be used to automatically extract cybesecurity-related entities from an article and create knowledge graph of threatactor.
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