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Location Entropy-Based Privacy Protection Algorithm for Social Internet of Vehicles

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Abstract

In the Social Internet of Vehicles (SIoV), sharing data among entities is prone to leaking private data. Protecting vehicle users privacy through encryption and anonymous method will generate large service overhead. To protect vehicle users location privacy with low service overhead, a location entropy-based privacy protection algorithm for Social Internet of Vehicles (LEPPV) has been proposed. Location entropy is used to measure the uncertainty of vehicle users’ destination. The higher the location entropy, the higher the level of vehicle user location privacy protection. We use two methods to increase location entropy: vehicle users request the type of service rather than the content of the service; Multiple Point of Interests (POIs) are screened out for vehicle users. The roadside units (RSUs) actively caches surrounding POIs, so that the service overhead generated by service requests can be reduced. We verify the effectiveness of the proposed algorithm in Veins. The experimental results show that our algorithm is able to protect vehicle user location privacy while ensuring service quality.

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The raw/processed data required to reproduce these findings cannot be shared at this time as the data also forms part of an ongoing study.

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Funding

This work is fully supported by the National Natural Science Foundation of China (62071170, 62171180, 62072158), the Program for Innovative Research Team in University of Henan Province (21IRTSTHN015), in part by the Key Science and the Research Program in University of Henan Province (21A510001), Henan Province Science Fund for Distinguished Young Scholars (222300420006), and the Science and Technology Research Project of Henan Province under Grant (222102210001).

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Authors and Affiliations

  1. College of Information Engineering, Henan University of Science and Technology, Luoyang, China

    Ling Xing, Yuanhao Huang, Xiaofan Jia, Honghai Wu & Huahong Ma

  2. College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang, China

    Jianping Gao

Authors
  1. Ling Xing
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  2. Yuanhao Huang
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  3. Jianping Gao
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  4. Xiaofan Jia
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  5. Honghai Wu
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Contributions

Conceptualization, L.X. and Y.H.; investigation, L.X. and X.J.; writing-original draft preparation, Y.H. and X.J.; writing-review and editing, L.X. and Y.H.; supervision, J.G., H.W. and H.M.

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Correspondence to Jianping Gao.

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Xing, L., Huang, Y., Gao, J. et al. Location Entropy-Based Privacy Protection Algorithm for Social Internet of Vehicles. Wireless Pers Commun 130, 3009–3025 (2023). https://doi.org/10.1007/s11277-023-10413-4

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