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一种具有实用性的隐私保护方法,用于轨迹出版
IEEE transactions on visualization and computer graphics
|October 31, 2025
概括
这项研究引入了发布轨迹数据的新方法,平衡个人隐私与城市规划数据实用性. 它以语义处理轨迹,增强位置数据分析的隐私保护方法.
科学领域:
- 计算机科学 计算机科学
- 数据 隐私 数据 隐私 数据
- 地理信息系统 (GIS) 是一个地理信息系统.
背景情况:
- 个人隐私对于轨迹数据发布至关重要,但维持城市规划和交通分析的数据实用性仍然是一个挑战.
- 现有的方法经常忽视语义轨迹特征 (来源,目的地,路径),阻碍特定任务的实用性测量和隐私-实用性平衡.
- 在可以通过考虑轨迹数据固有的语义来灵活平衡隐私和实用性的方法中存在差距.
研究的目的:
- 提出一种互动轨迹出版方法,优先考虑灵活的实用性考虑.
- 为了使数据所有者能够通过基于它们的语义处理轨迹点来指定特定任务的实用性测量.
- 为了实现个人隐私和不同应用的轨迹实用性之间的微妙平衡.
主要方法:
- 将轨迹分离为原点-目的地 (OD) 和路径组件以进行不同的处理.
- 将OD区域泛化以满足隐私的k-匿名性要求.
- 使用道路网络意识的差异隐私在OD组内的路径组件的消毒.
- 开发一个交互式视觉界面,将人类知识纳入隐私计划.
主要成果:
- 拟议的方法有效地根据它们的语义来处理轨迹点,以满足各种各样的实用需求.
- 对现实世界城市数据集的实验验验证了语义驱动的隐私保护方法的有效性.
- 交互式界面有助于探索和理解保护隐私的解决方案.
结论:
- 开发的交互轨迹出版方法通过利用语义特征成功平衡了隐私和实用性.
- 该方法为保护隐私的轨迹数据发布提供了一个灵活的框架,可以适应不同的公用事业需求.
- 这项工作通过整合语义理解和人类在循环中的互动来实现强大的位置隐私,从而推动了该领域的发展.
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