论文标题
边缘计算环境中基于位置服务的隐私保护和服务评估方法
Privacy protection and service evaluation methods for location-based services in edge computing environments
论文作者
论文摘要
本文提出了基于边缘计算环境的位置服务的隐私保护和评估方法。通过基于现有的用户隐私保护工作，在边缘计算环境中构建网站服务数据保护和系统评估系统，可以构建数据处理模块和服务评估模块，并设计了评估算法。 NPE评估模型和POE评估模型是根据IPE建议的相关研究设计的。具体而言，在NPE评估模型中，我们将每个用户的决定视为一组因素，并提出了一种整合学习因素的方法。在POE评估模型中，通过统一元数据信息，两个时间上下文和其他不同因素来理解用户对下一个动作的隐藏意图。该实验验证了该方法的有效性和可行性。
This paper proposes a privacy protection and evaluation method for location services based on edge computing environment. By constructing the site service data protection and system evaluation system in the edge computing environment, based on the existing user privacy protection work, the data processing module and service evaluation module are constructed, and the evaluation algorithm is designed. NPE evaluation model and POE evaluation model are designed according to relevant research recommended by IPE. Specifically, in the NPE evaluation model, we regard each user's decision as a group of factors, and propose a method to integrate learning factors. In the poe evaluation model, users' hidden intentions for the next action are understood by unifying metadata information, two time contexts and other different factors. The experiment verifies the effectiveness and feasibility of this method.
