通过集成异构数据源,通过自主知识图构建来增强网络安全
Hatoon Alharbi1, Ali Hur2, Hasan Alkahtani1
1Computer Science Department, College of Computer Sciences and Information Technology (CCSIT), King Faisal University, Eastern Province, Al-Ahsa, Saudi Arabia.
PeerJ. Computer science
|June 26, 2025
概括
本研究引入了网络安全知识图 (CKG),以提高网络威胁的检测. 通过整合各种数据和使用NLP,CKG提高了网络安全专业人员有效分析和减轻在线威胁的能力.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
背景情况:
- 网络安全对于现代社会至关重要.
- 知识图可以增强网络安全和隐私.
- 组织需要积极的威胁检测和缓解.
研究的目的:
- 构建一个高效的网络安全知识图 (CKG).
- 为了创建CKG,自主整合异质数据源.
- 通过逻辑规则和图形分析来增强CKG,以改进威胁分析.
主要方法:
- 自主构建网络安全知识图 (CKG).
- 不同质的结构化和非结构化数据的整合.
- 使用自然语言处理 (NLP) 来提取文本数据.
- 使用逻辑规则和图形分析算法进行增强.
主要成果:
- 开发了一个功能性的网络安全知识图 (CKG).
- 证明了网络安全专家对数据分析和威胁可见性的改进.
- 通过查询制定和分析验证逻辑规则.
结论:
- 该CKG授权网络安全专家拥有更好的数据分析能力.
- 该方法增强了对网络威胁的积极检测和缓解.
- 这项研究有助于保护网络空间免受恶意活动的影响.
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