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Cost-effective privacy-preserving vehicular urban sensing system

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Abstract

Vehicular urban sensor network is a new network paradigm for sensing data collection in urban environment. An on-board unit (OBU) is required to transfer data collected from sensors to the back-end server through various wireless networks, such as DSRC/WAVE, cellular networks, WiMAX, and WLAN/Wi-Fi. However, in any of such deployment, OBU should be equipped with an expensive transmitter. After transmitted to the server, those data can be further processed for many applications, such as automated traffic enforcement, Pay-as-You-Drive insurance, electronic toll pricing, and traffic statistics. Such raw data always contains vehicle and driver’s private information. Considering both cost and privacy concerns, we propose a new vehicle urban sensing infrastructure. Instead of deploying an expensive transmitter on OBU, we choose to use smartphone to transfer data through cellular network, which can be communicated with OBU equipped with a cheaper Bluetooth transmitter. To achieve privacy, we design an efficient protocol among OBU, smartphone, and back-end server by using some cryptographic techniques. Compare with the traditional OBU with 3G module (231 USD), the OBU we use is much cheaper (44.6 USD). Our protocol is also efficient enough to be deployed in practice.

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Notes

  1. Other information such as air pollution level can be collected as well.

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Acknowledgement

This work is supported by National Natural Science Foundation of China (No. 61402136), Natural Science Foundation of Guangdong Province, China (No. 2014A030313697), Guangdong Provincial Key Laboratory of High Performance Computing (No. [2013]82).

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Authors and Affiliations

  1. Zhejiang Gongshang University, Hangzhou, China

    Cong Zuo & Jun Shao

  2. Manchester Metropolitan University, Manchester, UK

    Kaitai Liang

  3. Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China

    Zoe L. Jiang

  4. Guangdong Provincial Key Laboratory of High Performance Computing, Guangzhou, China

    Zoe L. Jiang

  5. Jinan University, Guangzhou, China

    Junbin Fang

Authors
  1. Cong Zuo
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  2. Kaitai Liang
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  3. Zoe L. Jiang
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  4. Jun Shao
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  5. Junbin Fang
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Corresponding author

Correspondence to Zoe L. Jiang.

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Zuo, C., Liang, K., Jiang, Z.L. et al. Cost-effective privacy-preserving vehicular urban sensing system. Pers Ubiquit Comput 21, 893–901 (2017). https://doi.org/10.1007/s00779-017-1046-9

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  • DOI: https://doi.org/10.1007/s00779-017-1046-9

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