infinite-dataset-hub/CyberGuardUserBehavior

CyberGuardUserBehavior数据集记录了被网络安全公司识别为行为异常的用户在网络环境中的在线活动日志。每个记录都包括详细的用户行为日志和上下文元数据。该数据集旨在供研究人员和网络安全专业人士使用，以训练机器学习模型来检测可能的网络安全威胁。

The CyberGuardUserBehavior dataset captures the online activities of users identified as having anomalous behavior patterns by a cybersecurity firm, indicating potential engagement in activities that could compromise network security. Each record includes detailed logs of user actions within a corporate network environment, along with contextual metadata. The dataset is intended for researchers and cybersecurity professionals to train machine learning models to detect potential security threats.