Title :
VProof: Lightweight Privacy-Preserving Vehicle Location Proofs
Author :
Yifan Zhang ; Tan, Chiu C. ; Fengyuan Xu ; Hao Han ; Qun Li
Author_Institution :
Dept. of Comput. Sci., Coll. of William & Mary, Williamsburg, VA, USA
Abstract :
Transportation systems relying on vehicles to collect data for services such as road condition monitoring are vulnerable to malicious vehicles injecting large amounts of fake data. A particularly serious type of attack is one in which attackers report fake information about numerous places without actually having been there. In this paper, we present VProof, which is a vehicle location proof scheme that enables a vehicle to prove that its location claims match its historical locations. With VProof, vehicles construct their location proofs by simply extracting relevant contents from the packets received from roadside units. Our scheme is lightweight, since there is no communication required for a prover to obtain a location proof. Our scheme also well preserves users´ privacy, as we do not put any information that can be related to a user´s ID in a location proof. We have implemented a prototype VProof system and evaluated it with extensive real-world experiments. Our evaluation results show that VProof is able to reliably prove vehicle´s locations without leaking any user privacy.
Keywords :
data privacy; road vehicles; traffic engineering computing; extensive real-world experiments; historical locations; lightweight privacy-preserving vehicle location proofs; prototype VProof system; road condition monitoring; roadside units; transportation systems; user privacy; Algorithm design and analysis; Cryptography; Loss measurement; Privacy; Roads; Vehicles; Wireless communication; Location proof; privacy; security; vehicular networks;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2014.2321666