Secure search scheme for encrypted data in the VANET cloud with random query trapdoor

Integration of the Vehicular Adhoc Network (VANET) with cloud computing has played an important role in aiding the safety of vehicle drivers and passengers. Due to the dynamic nature of the vehicles and wireless communication, achieving security of outsourced data is still a major challenge in the vehicular cloud. The encryption of sensitive data prior to outsourcing is an elementary approach to achieve data confidentiality. However, it is difficult for users to search over encrypted data using customary search techniques. In this paper, we propose a secure search scheme by empowering the data users to create a random query trapdoor. We make use of the bloom filter and bilinear pairing operation to construct a secure index for keywords of each data file, which enables the vehicular cloud to carry out a search without deriving any helpful information about the query. We use the SIMITS2 simulator to implement the proposed scheme and test the performance in terms of key generation time, secure index construction time, trapdoor generation time and search time. The proposed scheme performs better than existing searchable encryption technologies based on hashing and attribute-based encryption.