Boğaziçi University Mouse Dynamics Dataset

Mouse dynamics is a hot topic under study in session-based authentication and intrusion detection in privileged access management systems. We contribute to this topic, which develops with the increase of big data capabilities, with a data set that is missing in the field. This data article describes an extensive dataset with free usage mouse dynamics data. This dataset has 7 variables and 24 users with 2550 hours of active usage data. Each user has training data, internal attack test data, and external attack test data. An application in Python programming language that continuously listens to mouse movements and mouse clicks and writes them into a file with a timestamp, foremost window name, and mouse action details, is implemented. Among 24 unique users, we labeled 5 users with the least amount of data as external users since their data would be weak for training purposes and we can test external threat detection. Each user has training data consist of 12 days with the most frequent mouse usage and reminder days of data are used for internal attack test data. This dataset is highly suitable for testing the under-development procedures against the insider threat, remote unauthorized access, and physical access.

鼠标动势分析（Mouse dynamics）是特权访问管理系统中基于会话的身份验证与入侵检测领域的热门研究课题。本研究针对该随大数据能力提升而快速发展的领域缺口，构建了一款当前研究中缺失的数据集。本数据论文详细介绍了一款包含自由使用场景下鼠标动势数据的大规模数据集。该数据集涵盖7项变量，包含24名用户共计2550小时的活跃使用数据。每名用户均配有训练数据集、内部攻击测试数据集与外部攻击测试数据集。本研究开发了一款基于Python编程语言的采集程序，可持续监听鼠标移动与点击行为，并将包含时间戳、前台窗口名称及鼠标操作详情的采集数据写入文件。在24名独立用户中，我们将数据量最少的5名用户标记为外部用户——因其数据量不足以支撑训练需求，可用于外部威胁检测任务的测试。每名用户的训练数据集取自其鼠标使用频率最高的12天数据，剩余天数的数据则用于内部攻击测试。该数据集非常适用于测试针对内部威胁、远程未授权访问及物理接触访问的待开发检测方案。