An Efficient Approximation based Adversary Detection (EAAD) mechanism for Wireless Sensor Networks

Wireless Sensor Networks (WSN) has seen great improvement and utilization in the past few decades. WSN can operate in remote areas without the intervention of human is key factor in the success of WSN. WSN consist of spatially distributed autonomous sensor nodes that collaborate with each other. Large number of existing schemes is available to detect the adversary in wireless sensor networks and each has its own disadvantages. In this paper, An Efficient Approximation based Adversary Detection (EAAD) mechanism is proposed for Wireless Sensor Networks. This scheme uses the input and output data. The input data describes the behavior of the node including selfishness, trust, responsibility and link strength. The output data describes the quality of service obtained by these parameters. Finally, the node is checked for normal or adversary node. Simulation results show that the proposed method performs better compared to the existing method.