Trajectory privacy preserving method for transmission resources

Xing Zhang, Jiaruo Li, Yiran Cao, Zhaoming Su, Shitao Jiang
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Abstract

To protect the location privacy of key nodes in transmission routing, we have studied a trajectory privacy preserving method for transmission resources. By anonymizing the gis information of the whole route, that is, anonymizing all the location information including the first and last stations of the route. Firstly, the internal point of the whole optical cable is protected by grid protection method, and then a method based on Bayesian reasoning is proposed to protect the location privacy of the endpoints including starting point and destination. Through Bayesian inference process, it is proved that the starting point of optical cable routing can be protected by shear the point closest to the starting point and the destination, and the destination location protection algorithm can be obtained in the same way. In order to further improve the endpoints protection performance, we divide the day into different time spans according to the scene of optical cable inspection, and then integrate the anonymization process into this time span. By comparing the two endpoints prediction algorithms with Syn_sub and PBT, it is proved that the proposed endpoints protection algorithm is more effective than the classical algorithm.
传输资源的轨迹隐私保护方法
为了保护传输路由中关键节点的位置隐私,我们研究了一种传输资源的轨迹隐私保护方法。通过对整个路由的 gis 信息进行匿名化处理,即对包括路由首末站在内的所有位置信息进行匿名化处理。首先通过网格保护方法对整条光缆的内部点进行保护,然后提出一种基于贝叶斯推理的方法来保护包括起点和终点在内的端点位置隐私。通过贝叶斯推理过程,证明光缆路由的起点可以通过剪切最靠近起点和终点的点来保护,终点位置保护算法也可以用同样的方法得到。为了进一步提高端点保护性能,我们根据光缆巡检的场景将一天划分为不同的时间跨度,然后将匿名化过程整合到这个时间跨度中。通过比较 Syn_sub 和 PBT 两种端点预测算法,证明所提出的端点保护算法比经典算法更有效。
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