Mobile Ad Hoc Networks (MANETs) is a group of mobile nodes with a dynamic (changing) topology and it works under scalable conditions for many applications and cause various security dispute. Recognizing the misbehavior is a tedious issue, because of the nomadic nature of nodes. For recognizing the destination route, nodes will share the routing details between the neighbors. So, nodes should trust one another, and here, trust is the main thing in secure routing mechanism. The MANETs current routing protocol concentrates on recognizing the paths in the dynamic networks without considering security. Here, an enhanced distributed trust model which computes neighbours’ direct trust by factors of encounter time, mobility, energy, successful cooperation frequency and some other more. In order to link the multiple recommended pieces of evidence and obtain the recommended trust value, we make use of the enhanced Dempster-Shafer evidence theory. EDTDS-AODV protocol is proposed in our work by extending the AODV protocol, which works according to the novel trust mechanism, an enhanced distributed trusted secure routing protocol. Here, based on the trust values of its neighbour nodes, the node decides the routing decision. And at last, proposed method modifies the traditional AODV routing protocol with the constraints of trust rate, energy, and mobility etc., according to the malicious behavior prediction. The trust rate is defined by the packet sequence ID matching from the log reports of neighbor nodes, which eliminates the malicious report generation. The trust level is increased by using the direct and indirect trust observation schemes. The trusted node is checked whether it is within the communication range or not, with the help of received signal strength indicator. From the experimental result it is confirmed that the EDTDS-AODV can avoid the malicious nodes effectively when building the route; in addition, it also accomplishes the better performance when compared with TAODV and AODV with respect to throughput, packet delivery ratio, and average end to end delay