Misbehavior Detection in Wireless Mesh Networks

In this paper we propose a detection technique to identify misbehaving client in wireless mesh networks. The technique is devised based on the communication history for two communicating clients through a common set of routers. Individual trust relationship is calculated for both the clients with their common routers. Then a correlation value for each client is found and compared with a predefined threshold to determine whether a client is spurious or not. We evaluate the performance of the proposed detection technique through simulation and results show that the detection efficiency is better with small number of misbehaving clients.