In the Vehicular Ad-hoc Networks (VANETs), a vehicle or the vehicle driver could be recognized and tracked by eavesdropping its queries (e.g., beacons) by an adversary, since these quires contain personal information and data such as the queries and location of the vehicle. This attack leads to threats on the vehicles location privacy. The current solutions, exercises Anonymizer, a third trusted party (TTP) in between the LBS and the vehicles. The insertion of the TTP shifts the endangered entity from the LBS to the Anonymizer, regarding security risk, and with the jeopardized anonymizer, the vehicles or vehicles drivers related data will also be at risk. In this paper, we come up with efficient query based dual location privacy in VANETs for V2V and V2I communication. In which we use the circle based dummy generation (CBDG) algorithm along with TTP. Before sending the query to the TTP first we create some dummy location by using CBDG, because we cannot trust completely on TTP architecture. And then we use CASPER as TTP to process the desired query from vehicles to LBS. after receiving the processed query from the LBS, the TTP sends the results back to the drives, where the vehicle drivers finds their desired results. Our results shows that the proposed scheme preserve the location privacy based on the queries at low communication and computational cost.
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Arif et al. (2018) studied this question.