A Privacy Protection Solution Based on Data Aggregation and Batch Authentication.

The crowdsourcing application improves the data collection capability of the IoV. However, the identity of crowdsourcing participant is public relative to the crowdsourcing server in IoV crowdsourcing. The identity private of vehicle users is easy to leak. Worse, due to the large number of crowdsourcing participants, crowdsourcing data collection will produce relatively large communication loss. In order to solve these problems, this paper proposes a batch authentication-based privacy protection scheme suitable for the IoV crowdsourcing. First, in order to ensure the privacy and availability of data, this paper selects the homomorphic encryption algorithm for encryption processing. Then, by using the properties of homomorphic encryption, the encrypted data is aggregated to effectively reduce the calculation and communication overhead of roadside units. In addition, for the authentication between crowdsourcing participants, this paper adopts bilinear pairing technology to realize batch authentication of identities and reduce the authentication overhead. Finally, it is verified by simulation that the proposed scheme can effectively reduce communication cost while protecting privacy information of vehicle users.