Privacy Metric Review of Internet of Vehicles
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1.School of Transportation Science and Engineering, Beihang University, Beijing 100191, China;2.School of Cyber Science and Technology, Beihang University, Beijing 100191, China

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U495

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    Abstract:

    This paper first reviews the privacy backgrounds especially the Internet of Vehicle (IoV)characteristics, privacy features and common privacy leakage attacks. Then, it elaborates the characteristics and needs of different types of privacy in terms of identity privacy, location privacy and data privacy as well as the key privacy protection technologies and methodological evolutions for different privacy types . On this basis, the representative privacy metrics schemes, theoretical models, and metrics challenges for different types of privacy are studied in depth across multiple privacy domains. Furthermore, 8 key attributes and 32 indicators of privacy metrics in IoV are summarized. Finally, a discussion is also made on the future research directions and challenges of privacy metrics.

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XU Xiaoya, YU Haiyang, CUI Zhiyong, WANG Yinghui, WANG Pengcheng. Privacy Metric Review of Internet of Vehicles[J].同济大学学报(自然科学版),2022,50(12):1693~1702

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  • Received:September 08,2022
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  • Online: January 03,2023
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