Journal
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 69, Issue 1, Pages 807-817Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2019.2946935
Keywords
Vehicular cloud; VANETs; traffic data aggregation; message recovery signature; batch verification
Categories
Funding
- National Natural Science Foundation of China [61922045, U1836115, 61572382, 61672295]
- Natural Science Foundation of Jiangsu Province [BK20181408]
- Foundation of State Key Laboratory of Cryptology [MMKFKT201830]
- Peng Cheng Laboratory Project of Guangdong Province [PCL2018KP004]
- Open Foundation of State key Laboratory of Networking and Switching Technology (Beijing University of Posts and Telecommunications) [SKLNST-2019-2-02]
- Postgraduate Research& Practice Innovation Program of Jiangsu Province
- CICAEET fund
- PAPD fund
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The vehicular cloud provides many significant advantages to Vehicular ad-hoc Networks (VANETs), such as unlimited storage space, powerful computing capability and timely traffic services. Traffic data aggregation in the vehicular cloud, which can aggregate traffic data from vehicles for further processing and sharing, is very important. Incorrect traffic data feedback may affect traffic safety; therefore, the security of traffic data aggregation should be ensured. In this paper, by using the property of data recovery in the message recovery signature (MRS), we propose a secure real-time traffic data aggregation scheme for vehicular cloud in VANETs. In the proposed scheme, the validity of vehicles' signatures are verified, and then the original traffic data is recovered from signatures. Moreover, the proposed scheme supports batch verification for multiple vehicles' signatures. Due to advantages of the MRS, security features such as data confidentiality, privacy preservation and reply attack resistance are preserved. In addition, the comparison and simulation results indicate that the proposed scheme is superior in comparison to previous schemes with respect to the communication and computational cost.
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