rishavr222/Advanced_SIEM_Dataset

advanced_siem_dataset 是一个包含100,000条安全事件记录的合成数据集，专为网络安全领域的机器学习（ML）和人工智能（AI）模型训练而设计。它模拟了来自安全信息与事件管理（SIEM）系统的日志，捕获了多种事件类型，例如防火墙活动、入侵检测系统（IDS）警报、身份验证尝试、端点活动、网络流量、云操作、物联网设备事件以及人工智能系统交互。该数据集包含高级元数据、MITRE ATT&CK技术、威胁行为者关联以及非常规的入侵指标（IOC），使其适用于异常检测、威胁分类、预测分析以及用户和实体行为分析（UEBA）等任务。

The advanced_siem_dataset is a synthetic dataset of 100,000 security event records designed for training machine learning (ML) and artificial intelligence (AI) models in cybersecurity. It simulates logs from Security Information and Event Management (SIEM) systems, capturing diverse event types such as firewall activities, intrusion detection system (IDS) alerts, authentication attempts, endpoint activities, network traffic, cloud operations, IoT device events, and AI system interactions. The dataset includes advanced metadata, MITRE ATT&CK techniques, threat actor associations, and unconventional indicators of compromise (IOCs), making it suitable for tasks like anomaly detection, threat classification, predictive analytics, and user and entity behavior analytics (UEBA).