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TPSense: A Framework for Event-Reports Trustworthiness Evaluation in Privacy-Preserving Vehicular Crowdsensing Systems

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Abstract

Vehicles with abundant sensors and sophisticated communication capabilities have contributed to the emergency of vehicular crowdsensing systems. Vehicular crowdsensing is becoming a popular paradigm to collect a variety of traffic event-reports in intelligent transportation research. However, event-reports trustworthiness and drivers’ privacy are under the threats of the openness of sensing paradigms. This paper proposes TPSense, a lightweight fog-assisted vehicular crowdsensing framework, which guarantees data trustworthiness and users’ privacy. Firstly, we convert the data trustworthiness evaluation problem into a maximum likelihood estimation one, and solve it through expectation maximization algorithm. Secondly, blind signature technology is employed to generate a pseudonym to replace the vehicle’s real identity for the sake of drivers’ privacy protection. Our framework is assessed through simulations on both synthetic and real-world mobility traces. Results have shown that TPSense outshines existing schemes in event-reports trustworthiness evaluation and the reliability of vehicles.

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Acknowledgements

Foundation item: National Natural Science Foundation of China (61972136, 61772173,61471161); Program for the Innovative Talents of the Higher Education Institutions of Henan Province (19HASTIT027); Open fund of Key Laboratory of Grain Information Processing and Control (under Grant No. KFJJ-2018105), Department of Education Outstanding Youth Scientific Innovation Team Support Foundation under Grant T201410.

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Authors and Affiliations

  1. Information Engineering University, Zhengzhou, 450001, China

    Zhenqiang Xu & Jiayao Wang

  2. School of Computer and Information Science, Hubei Engineering University, Xiaogan, 432000, China

    Zenggang Xiong

  3. Key Laboratory of Grain Information Processing and Control (Henan University of Technology), Ministry of Education, Zhengzhou, 450001, China

    Zhenqiang Xu, Weidong Yang & Gang Liu

  4. College of Information Science and Engineering, Henan University of Technology, Zhengzhou, 450001, China

    Zhenqiang Xu, Weidong Yang & Gang Liu

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  1. Zhenqiang Xu
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Correspondence to Zenggang Xiong.

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Xu, Z., Yang, W., Xiong, Z. et al. TPSense: A Framework for Event-Reports Trustworthiness Evaluation in Privacy-Preserving Vehicular Crowdsensing Systems. J Sign Process Syst 93, 209–219 (2021). https://doi.org/10.1007/s11265-020-01559-6

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  • DOI: https://doi.org/10.1007/s11265-020-01559-6

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