Oblivious Transfer for Privacy-Preserving in VANET’s Feature Matching
Xianmin Wang, Xiaohui Kuang, Jin Li, Jing Li, Xiaofeng Chen, Zheli Liu · IEEE Transactions on Intelligent Transportation Systems · 2020
In the feature matching of some Vehicular Ad Hoc Network (VANET) technologies, users' privacy disclosure issue has seriously threatened personal safety and caused considerable economic loss. In this paper, we proposed Oblivious Transfer (OT) protocol and Private Set Intersection (PSI) protocol to protect the users' privacy in the situation of VANET's feature matching. In our schema, an efficient k-out-of- n OT protocol is constructed. Then, this OT protocol is adopted to give a PSI protocol with equality test. Based on the PSI protocol, the two parties of VANET can obtain the intersection of their characteristic sets and any information outside such intersection is unavailable. Accordingly, internal attacker fails to get any useful information from the two parties in the feature matching, and the two parties cannot obtain extra data of each other. Moreover, to reduce the computational cost of the OT protocol, the non-communicative algebraic structure-group ring Zq[Sm] is employed. In addition, we analyzed that the proposed scheme does not use complex calculations and can resist against the current quantum attacks.