多源系统日志结构化数据集

为研究多源数据的结构化方法，实现多源数据从非结构化到结构化的转换，课题从客户业务现场提取非结构化（半结构化）的，来源于防火墙、操作系统、ATD、WAF、XML、DDOS、应用系统等7类多源数据进行分析研究，对20000条非结构化（半结构化）的多源数据集进行了结构化处理。结构化的每一条数据是一个JSON结构，包含设备名、设备厂商、设备地址、主机名、源IP、源端口、执行动作等24个字段。

To study the structured processing methods for multi-source data and realize the transformation from unstructured (semi-structured) multi-source data to structured data, this research extracted unstructured (semi-structured) multi-source data covering 7 categories including firewalls, operating systems, ATD, WAF, XML, DDOS, and application systems from customer on-site business environments for analytical research. A total of 20,000 unstructured (semi-structured) multi-source data entries were subjected to structured processing. Each structured data entry adopts a JSON structure, which contains 24 fields such as device name, device vendor, device address, hostname, source IP, source port, and execution action.