AuthenTech2023触摸动态数据集

AuthenTech2023触摸动态数据集由明尼苏达州立大学曼卡托分校计算机信息科学系创建，包含15名用户在三星平板电脑上玩Minecraft时的触摸行为数据，每位用户数据采集时长为15分钟。数据集涵盖了触摸事件的时间戳、坐标、触摸状态、接触面积大小和压力等多种指标。该数据集的创建旨在通过机器学习模型分析触摸行为，实现连续用户认证，解决传统认证方法的局限性，如设备解锁后的安全漏洞。数据集的应用领域主要集中在移动设备的安全认证和用户行为分析，以提升个人数据的安全保护。

The AuthenTech2023 Touch Dynamics Dataset was created by the Department of Computer and Information Sciences, Minnesota State University, Mankato. It includes touch behavior data from 15 users playing Minecraft on Samsung tablets, with each user's data collected over a 15-minute period. The dataset encompasses multiple metrics related to touch events, including timestamps, coordinates, touch states, contact area, and pressure. This dataset was developed to analyze touch behavior using machine learning models for continuous user authentication, aiming to address the limitations of traditional authentication methods such as security vulnerabilities after device unlock. Its main application scenarios focus on mobile device security authentication and user behavior analysis, to enhance the security protection of personal data.