移动社交网络中可保护隐私的快速邻近检测方法

发布时间：2018-07-11 11:44

本文选题：移动社交网络 + 基于地理位置的服务　；参考：《计算机应用》2017年06期

【摘要】：针对邻近检测中的用户隐私保护问题,提出了一种可保护隐私的快速邻近检测方法。该方法用网格划分地图。在邻近检测的过程中:首先,用户的邻近区域被转化为其周边网格的集合;然后,利用隐私交集运算(PSI)计算用户邻近区域的交集以达到保护隐私的目的;最后,依据交集是否为空进行邻近判定。分析和实验结果表明,与现有的基于私密相等性检测以及基于坐标变换的方法相比,所提方法解决了邻近检测中隐私保护的公平性问题,能够较好地防范勾结攻击,并且具备较高的计算效率。
[Abstract]:Aiming at the privacy protection of users in proximity detection, a fast approach to protect privacy is proposed. This method uses grid to divide map. In the process of neighbor detection: firstly, the adjacent area of the user is transformed into the set of the peripheral grid; then, the intersection of the adjacent area of the user is calculated by using the privacy intersection operation (PSI) to achieve the purpose of protecting privacy. According to whether the intersection is empty or not, the proximity decision is made. The analysis and experimental results show that compared with the existing methods based on privacy equality detection and coordinate transformation, the proposed method solves the fairness problem of privacy protection in neighborhood detection, and can better prevent collusion attacks. And has a high computational efficiency.
【作者单位】：西北工业大学计算机学院;安康学院电子与信息工程学院;
【分类号】：TP309;TP393.09

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