Adaptive Trust Model for secure geographic routing in Wireless Sensor Networks

Abstract

Adaptive Trust Model (ATM) for secure geographic routing has been presented in this paper. Unlike conventional weight based trust models, ATM adjusts the weights associated with the network activities. In this model, direct trust has been considered to restrict the reputation based attacks. Due to the flexibility of weights adjustment, ATM dynamically identifies malicious nodes and directs the route towards trustworthy nodes. This ATM has been integrated into Greedy Perimeter Stateless Routing (GPSR) protocol. Simulation results using the network simulator ns-2 have shown that GPSR with ATM is robust in detecting malicious nodes.