A privacy‐preserving distance‐based incentive scheme in opportunistic VANETs
Jun Song, Chunjiao He, Fan Yang, Huanguo Zhang · Security and Communication Networks · 2015
Abstract Opportunistic vehicular ad hoc networks have attracted enormous attention from both industry and academia in recent years. However, the presence of selfish behaviors of nodes could cause a severe threat to well designed opportunistic routing scheme, and even jeopardize the whole network. This paper presents a privacy‐preserving distance‐based incentive scheme, particularly to address issues of the nodes' selfish behavior and the location privacy. The proposed protocol adopts secure multiparty computation and homomorphic encryption methods to realize three properties, i.e., the confidentiality of nodes location information, the integrity of the message carried distance, and the correctness of reputation computation. Furthermore, this incentive scheme can satisfy the following security requirements, such as mutual authentication, non‐repudiation, and conditional privacy preservation, and it can also stimulate the active helpers and suppress harmful behaviors fairly and reasonably. The security analysis and performance evaluation show that the proposed framework is secure, efficient, and practical. Copyright © 2015 John Wiley & Sons, Ltd.