Abstract
With the popularity of edge-based trajectory applications, application providers have accumulated a large amount of user trajectory data. However, direct use of trajectory data containing rich privacy information has the risk of leaking user privacy. In this paper, we propose an edge trajectory protection approach using the technique of blockchain. This protection mechanism not only takes account of users information protection and identity authentication in block generation, but considers the screening mechanism to ensure the integrity of most authorized nodes. We propose trajectory entropy suppression method that combines it with a cost function evaluation sequence and achieve collaboration between regions by deploying smart contracts. Our experimental results demonstrate the efficiency and effectiveness of our proposed model.
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Acknowledgement
This work is partially supported by National Natural Science Foundation of China (Grant Nos. 61972034, 61832012, 61771289), Natural Science Foundation of Shandong Province (Grant No. ZR2019ZD10), Natural Science Foundation of Beijing Municipality (Grant No. 4202068), Ministry of Education - China Mobile Research Fund Project (Grant No. MCM20180401).
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Wang, M., Li, G., Zhang, Y., Gai, K., Qiu, M. (2021). An Edge Trajectory Protection Approach Using Blockchain. In: Qiu, H., Zhang, C., Fei, Z., Qiu, M., Kung, SY. (eds) Knowledge Science, Engineering and Management. KSEM 2021. Lecture Notes in Computer Science(), vol 12817. Springer, Cham. https://doi.org/10.1007/978-3-030-82153-1_53
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DOI: https://doi.org/10.1007/978-3-030-82153-1_53
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