Trajectory privacy preserving method for transmission resources

Xingliang Zhang; Jiaruo Li; Yiran Cao; Zhaoming Su; Shitao Jiang

doi:10.1117/12.3031947

6 June 2024 Trajectory privacy preserving method for transmission resources

Xingliang Zhang, Jiaruo Li, Yiran Cao, Zhaoming Su, Shitao Jiang

Proceedings Volume 13175, International Conference on Computer Network Security and Software Engineering (CNSSE 2024); 1317507 (2024) https://doi.org/10.1117/12.3031947
Event: 4th International Conference on Computer Network Security and Software Engineering (CNSSE 2024), 2024, Sanya, China

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xingliang Zhang, Jiaruo Li, Yiran Cao, Zhaoming Su, and Shitao Jiang "Trajectory privacy preserving method for transmission resources", Proc. SPIE 13175, International Conference on Computer Network Security and Software Engineering (CNSSE 2024), 1317507 (6 June 2024); https://doi.org/10.1117/12.3031947

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KEYWORDS

Optical fiber cables

Data privacy

Inspection

Bayesian inference

Geographic information systems

Detection and tracking algorithms

Lithium

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