Users’ trip location information is of great value in the study of social computing and big data. Based on the personalized characteristics of user trajectory data, this paper proposes a Trajectory-based-based Identity Authentication Method (TIAM). TIAM consists of the registration phase and the authentication phase. Users initialize the trip routes and the coordinates of home and office in the registration phase to set template trajectories and stay points. In the authentication phase, TIAM first preprocesses trajectory data, and then calculates the similarity between the sample trajectories to be authenticated and the template trajectories in the template library, and detects if there are the stay-point hits in the sample trajectories. Third, TIAM authenticates whether the current user is valid based on similarities and stay-point hits, and updates the template library with new sample trajectories that are authenticated as valid to accommodate changes in the users’ trip routes. Because the process of collecting data and authentication is transparent to a user, TIAM does not reveal the user's biological information, and can dynamically adapt to the change of user's trajectories. Therefore, TIAM has strong flexibility and adaptability. Experiments show that the average authentication accuracy of TIAM is 96.74%. It is not only suitable for the identification of mobile device owners, but also suitable for monitoring on child safety behaviors and on dangerous goods transport vehicles.

用户的出行位置信息在社会计算和大数据研究中具有重要价值。基于用户轨迹数据的个性化特征，提出了一种基于轨迹的身份认证方法（TIAM）。TIAM包括注册阶段和认证阶段。用户在注册阶段初始化行程路线以及家庭和办公室的坐标，以设置模板轨迹和停留点。在认证阶段，TIAM首先预处理轨迹数据，然后计算要认证的样本轨迹与模板库中模板轨迹之间的相似度，并检测样本轨迹中是否有停留点命中。第三，TIAM根据相似性和停留点点击来验证当前用户是否有效，并使用已验证为有效的新示例轨迹更新模板库，以适应用户旅行路线的变化。由于收集数据和进行身份验证的过程对用户是透明的，因此TIAM不会泄露用户的生物信息，并且可以动态地适应用户轨迹的变化。因此，TIAM具有很强的灵活性和适应性。实验表明，TIAM的平均认证准确性为96.74％。它不仅适用于识别移动设备所有者，还适用于监视儿童的安全行为和危险品运输车辆。由于收集数据和进行身份验证的过程对用户是透明的，因此TIAM不会泄露用户的生物信息，并且可以动态地适应用户轨迹的变化。因此，TIAM具有很强的灵活性和适应性。实验表明，TIAM的平均认证准确性为96.74％。它不仅适用于识别移动设备所有者，还适用于监视儿童的安全行为和危险品运输车辆。由于收集数据和进行身份验证的过程对用户是透明的，因此TIAM不会泄露用户的生物信息，并且可以动态地适应用户轨迹的变化。因此，TIAM具有很强的灵活性和适应性。实验表明，TIAM的平均认证准确性为96.74％。它不仅适用于识别移动设备的所有者，而且还适用于监视儿童的安全行为和危险品运输车辆。