【摘要】 随着万物互联时代的到来，网络空间的攻击面不断拓展延伸，安全问题日益凸显。为应对复杂多变的网络攻击，构建威胁情报的知识图谱是核心和基础，利用威胁情报知识图谱将专家知识与海量安全数据相结合，有助于推动网络安全智能防御技术从感知智能迈向认知智能。本文提出了构建威胁情报知识图谱的技术架构，设计了一种网络安全知识本体，并总结了当前国内外实体识别技术与关系抽取技术的研究现状，最后分析了威胁情报知识图谱的未来研究发展方向及应用场景。更多还原

【Abstract】 In the era of the Internet of Everything(Io E), the attack surface in cyberspace is expanding leading to increased security issues. To address complex and evolving cyber-attacks, this paper proposes the use of a threat intelligence knowledge graph to integrate expert knowledge with large amounts of security data and to advance cyber security defense technology from perceptual intelligence to cognitive intelligence. The paper presents a technical architecture for building threat intelligence knowledge graphs, designs a cybersecurity knowledge ontology, and reviews global research on entity recognition and relationship extraction technologies. The paper concludes by identifying future research directions and potential application scenarios for threat intelligence knowledge graphs.更多还原