Vehicular ad hoc network (VANETs) has gained wide popularity such that it is necessary to incorporate trust among each node in the network. However, trust management among vehicles is a challenging task as malicious nodes are prone to disturb data transmission among different vehicles. The aim of this work is to establish the truth of consensus, to identify the malicious nodes with no further delay, by considering the decision of each vehicle on finding the trust values. The experimental analysis for the proposed approach done using the NS3 with CAIDA data set, the proposed scheme shows superior results compared to the other existing schemes for the detection rate of malicious nodes. It enhances the attack Detection Rate (DR) as 96.5% for the projected dual weighted trust evaluation technique. But, DR for the triumphing technique firecol is 74.9% and AODV is 60%. Thus, it is experimentally proved that dual weighted trust mechanism has high attack detection rate, comparatively. Also, proposed method outperforms very well with respect to the data transmission parameters like packet delivery ratio, energy Consumption and average latency comparatively over the existing mechanisms.