| Abstract: | In a vehicular ad hoc network, trust between vehicles is vital to efficiently transmit the data among vehicles. Secure node selection is based on the trust value that a node can calculate during its operations in a dynamic network. This will increase the confidentiality level of the network, thus improving the network performance. However, defining confidentiality is not a crisp task, rather it can range between certain limits. A fuzzy‐based inference engine can be used to optimally define these limits. In this paper, a fuzzy‐based trust prediction model is proposed to effectively compute the trust of other vehicles for the secure path formation in vehicular ad hoc networks. In the designed approach, each vehicle models the trustworthiness of the neighbors in its cognitive range to dynamically select the relay nodes that can be used for data transmission and the election of the appropriate path for routing in vehicular ad hoc network environment. The results and analysis of the proposed model over the standard protocols are presented using simulations. Copyright © 2016 John Wiley & Sons, Ltd. |
