RDLTechworks/cybersec-knowledge-foundation

物联网与网络安全知识图谱数据集是一个整合了各种Hugging Face数据集的统一知识图谱，专注于物联网和网络安全领域。它结合了结构和半结构化数据，提供了一个全面的网络活动、设备行为、网络攻击和建筑自动化系统的视角。该数据集的主要目标是促进物联网安全、网络异常检测、建筑自动化、知识图谱嵌入和大型语言模型预训练等领域的研究与开发。

This dataset is a unified knowledge graph constructed from various Hugging Face datasets focusing on IoT and Cybersecurity domains. It integrates structured and semi-structured data to provide a comprehensive view of network activities, device behaviors, cyberattacks, and building automation systems. The primary goal of this dataset is to facilitate research and development in areas such as IoT Security, Network Anomaly Detection, Building Automation, Knowledge Graph Embeddings (KGE), and Large Language Model Pre-training.