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Sensors 2017, 17(4), 668; doi:10.3390/s17040668

A Secure and Privacy-Preserving Navigation Scheme Using Spatial Crowdsourcing in Fog-Based VANETs

School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, China
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Academic Editor: Rongxing Lu
Received: 28 December 2016 / Revised: 5 March 2017 / Accepted: 16 March 2017 / Published: 24 March 2017
(This article belongs to the Special Issue Security and Privacy Challenges in Emerging Fog Computing)
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Abstract

Fog-based VANETs (Vehicular ad hoc networks) is a new paradigm of vehicular ad hoc networks with the advantages of both vehicular cloud and fog computing. Real-time navigation schemes based on fog-based VANETs can promote the scheme performance efficiently. In this paper, we propose a secure and privacy-preserving navigation scheme by using vehicular spatial crowdsourcing based on fog-based VANETs. Fog nodes are used to generate and release the crowdsourcing tasks, and cooperatively find the optimal route according to the real-time traffic information collected by vehicles in their coverage areas. Meanwhile, the vehicle performing the crowdsourcing task can get a reasonable reward. The querying vehicle can retrieve the navigation results from each fog node successively when entering its coverage area, and follow the optimal route to the next fog node until it reaches the desired destination. Our scheme fulfills the security and privacy requirements of authentication, confidentiality and conditional privacy preservation. Some cryptographic primitives, including the Elgamal encryption algorithm, AES, randomized anonymous credentials and group signatures, are adopted to achieve this goal. Finally, we analyze the security and the efficiency of the proposed scheme. View Full-Text
Keywords: fog-based VANETs; real-time navigation; privacy-preserving; spatial crowdsourcing fog-based VANETs; real-time navigation; privacy-preserving; spatial crowdsourcing
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Wang, L.; Liu, G.; Sun, L. A Secure and Privacy-Preserving Navigation Scheme Using Spatial Crowdsourcing in Fog-Based VANETs. Sensors 2017, 17, 668.

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