A Security and Privacy-Preserving Accessing Data Protocol in Vehicular Crowdsensing Using Blockchain

Abstract

This paper exploits the advantage of blockchain to fulfill secure data storage and access in vehicular crowdsensing. In vehicular crowdsensing, organizations can have a right to access vehicles’ profiles with unlimited privilege, which results in security and privacy disclosure. Thus, based on the proposed blockchain, we design a secure and privacy-preserving vehicle’s profile record accessing (BSPPA) protocol. The proposed BSPPA is able to store the vehicle’s sensing data and indexes as encrypted data for a secure indexes search. This will result in controlling the privilege of data access and prevent vehicle’s data from being revealing private data. Analysis of the security is demonstrated to show the efficiency of the BSPPA scheme. Furthermore, the performance evaluation shows the efficiency of the BSPPA protocol.