APTB

APTB数据集是由哈尔滨工程大学研究团队创建的，专注于保护移动社交网络中用户位置和轨迹信息的隐私。该数据集通过网络流量控制和差分隐私技术，对用户的时空轨迹数据进行处理，以防止个人隐私泄露。数据集的创建过程中，采用了前缀树模型和节点聚合重构技术，有效降低了数据发布过程中的隐私风险。APTB数据集主要应用于网络流量预测和资源分配等领域，旨在解决高维度和稀疏性数据集的隐私保护问题。

The APTB dataset was created by a research team from Harbin Engineering University, focusing on privacy protection for user location and trajectory information in mobile social networks. This dataset processes users' spatiotemporal trajectory data through network traffic control and differential privacy technologies to prevent personal privacy leaks. During the creation of the dataset, the prefix tree model and node aggregation and reconstruction techniques were adopted, effectively reducing the privacy risks during the data publication process. The APTB dataset is mainly applied in fields such as network traffic prediction and resource allocation, aiming to address the privacy protection issues of high-dimensional and sparse datasets.