Abstract
Finding a vacant parking space in a congested area, such as shopping mall, airport, etc., is always time-consuming and frustrating for drivers. Real-time parking information can avoid vehicles being cruising on the roads. However, when the drivers are acquiring parking information, their privacy is inevitable to be disclosed. In this paper, to minimize drivers’ hassle and preserve drivers’ privacy, we propose CPARN, a Cloud-based Privacy-preserving pARking Navigation system through vehicular communications, in which a cloud server guides drivers to vacant parking spaces close to their desired destinations without exposing the privacy of drivers, including drivers’ identities, references and routes. Specifically, CPARN allows drivers to query vacant parking spaces in an anonymous manner to a cloud server that maintains the parking information, and retrieve the protected navigation responses from the roadside units when the vehicles are passing through. CPARN has the advantage that it is unnecessary for a vehicle to keep connected with the queried roadside unit to ensure the retrievability of the navigation result, such that the navigation retrieving probability can be significantly improved. Performance evaluation through extensive simulations demonstrates the efficiency and practicality of CPARN.
Y. Yu—This work is supported by the Fundamental Research Funds for the Central Universities under Grant ZYGX2015J059, ZYGX2014J062.
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References
Lu, R., Lin, X., Zhu, H., Shen, X.: An intelligent secure and privacy-preserving parking scheme through vehicular communications. IEEE Trans. Veh. Technol. 59(6), 2772–2784 (2010)
Vacancy, N.: Park slope’s parking problem. http://www.transalt.org/news/releases
Thompsona, R.G., Takadab, K., Kobayakawa, S.: Optimisation of parking guidance and information systems display configurations. Transp. Res. Part C Emerg. Tech. 9(1), 69–85 (2001)
Parking guidance and driver information. http://www.ssspl.org/uploads/Products/Pdf/ParkingGuidancesystem.pdf
Lin, X., Sun, X., Ho, P.-H., Shen, X.: GSIS: A Secure and Privacy-Preserving Protocol for Vehicular Communications. IEEE Trans. Veh. Technol. 56(6), 3442–3456 (2007)
Lu, R., Lin, X., Luan, T.H., Liang, X., Shen, X.: Pseudonym changing at social spots: an effiective strategy for location privacy in VANETs. IEEE Trans. Veh. Technol. 61(1), 86–96 (2012)
Lu, R., Lin, X., Zhu, H., Ho, P.-H., Shen, X.: ECPP: efficient conditional privacy preservation protocol for secure vehicular communications. In: IEEE INFOCOM 2008, Phoenix, AZ, USA, pp. 1903–1911. IEEE Society (2008)
Pereira, P.R., Casaca, A., Rodrigues, J.J., Soares, V.N., Triay, J., Cervelló-Pastor, C.: From delay-tolerant networks to vehicular delay-tolerant networks. IEEE Commun. Surv. Tutor. 14(4), 1166–1182 (2012)
Apple, Google collcet user data. http://www.wsj.com/articles
How Apple tracks your location without consent, and why it matters. http://arstechnica.com/apple/2011/04
Wu, D.J., Zimmerman, J., Planul, J., Mitchell, J.C.: Privacy-preserving shortest path computation. In: NDSS 2016, San Diego, California, USA (2016)
Things car thieves know that you do not. http://abcnews.go.com/Business/things-car-thieves/story?id=20938096
Chim, T., Yiu, S., Hui, L.C., Li, V.O.: VSPN: VANET-based secure and privacy-preserving navigation. IEEE Trans. Comput. 63(2), 510–524 (2014)
Pointcheval, D., Sanders, O.: Short randomizable signatures. In: Sako, K. (ed.) CT-RSA 2016. LNCS, vol. 9610, pp. 111–126. Springer, Cham (2016). doi:10.1007/978-3-319-29485-8_7
Au, M.H., Liu, J.K., Fang, J., Jiang, Z.L., Susilo, W., Zhou, J.: A new payment system for enhancing location privacy of electric vehicles. IEEE Trans. Veh. Technol. 63(1), 3–17 (2014)
Boneh, D., Boyen, X.: Short signatures without random oracles. In: Cachin, C., Camenisch, J.L. (eds.) EUROCRYPT 2004. LNCS, vol. 3027, pp. 56–73. Springer, Heidelberg (2004). doi:10.1007/978-3-540-24676-3_4
Multiprecision integer and rational arithmetic C/C++ library.http://www.freshports.org/math/miracl/
Cho, W., Park, Y., Sur, C., Rhee, K.H.: An improved privacy-preserving navigation protocol in VANETs. J. Wirel. Mob. Netw. Ubiquit. Comput. Dependable Appl. 4(4), 80–92 (2013)
Sur, C., Park, Y., Rhee, K.H.: An efficient and secure navigation protocol based on vehicular cloud. Int. J. Comput. Math 93(2), 325–344 (2016)
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Ni, J., Zhang, K., Lin, X., Yu, Y., Shen, X.(. (2017). Cloud-Based Privacy-Preserving Parking Navigation Through Vehicular Communications. In: Deng, R., Weng, J., Ren, K., Yegneswaran, V. (eds) Security and Privacy in Communication Networks. SecureComm 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 198. Springer, Cham. https://doi.org/10.1007/978-3-319-59608-2_5
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