Abstract
In the era of rapid development of mobile Internet technology and big data technology, people enjoy more convenient travel because of Online Car-hailing. At the same time, the location privacy of drivers and passengers has also been leaked due to the use of Online Car-hailing. The traditional privacy preserving encryption technology for Online Car-hailing has a large amount of computation and low efficiency. In order to solve these problems, the Migration Privacy Protection based on Scheduling Algorithm (MPSA) for Online car-hailing is proposed in this paper. Firstly, the road network model is established through the road network matching technology. Secondly, the shortest path between the passenger and the car is calculated through A* algorithm and Dijkstra algorithm. Finally, the location privacy protection between the driver and the passenger is realized through the offset technology. In this paper, a scientific experiment is carried out on real data to verify the superiority of MPSA in privacy protection effect and operation efficiency.
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Funding
This work is funded by the National Natural Science Foundation of China (No. 61902069 and U1905211), the Science Foundation of FuJian University of Technology (GY-Z21048, GY-Z18181 and GY-Z21024), the Natural Science Foundation of Fujian Province of China (2021J011068), and the Key Project of Shanghai Science and Technology Innovation Action Plan under Grant (19DZ1100400).
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Ding, Q., Zhang, J., Lin, L., Xu, Z., Wang, Y. (2021). Migration Privacy Protection Based on Scheduling Algorithm for Online Car-Hailing. In: Lin, L., Liu, Y., Lee, CW. (eds) Security and Privacy in Social Networks and Big Data. SocialSec 2021. Communications in Computer and Information Science, vol 1495. Springer, Singapore. https://doi.org/10.1007/978-981-16-7913-1_11
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DOI: https://doi.org/10.1007/978-981-16-7913-1_11
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