Trust Management in wireless sensor networks based on Markov chain

Despite the many applications of wireless sensor networks, due to limited resources such as energy and memory in the sensor, this type of network against malicious attacks are very weak and vulnerable.Therefore, as an effective complement to traditional security methods, management, ensuring a key role in the discovery of suspicious behavior in wireless sensor networks.The main issue is how we can recognize the ideal of nodes in this environment of complex shapes to achieve?In this paper, Markov chain model to calculate the amount of short-term confidence of nodes used and a management system to ensure the reduction of environmental impacts of complex motives have been proposed to compute node status.There's also a new computing model with factors for calculating the long-term reliability suggested that the impact of environmental change in the calculation parameters dropped.Simulation results show that the proposed algorithm can effectively suspicious behavior of wireless sensor network nodes to discover.Can be meaningfully compared to those of packet delivery to provide a more appropriate rate.Finally, better security in wireless sensor networks provide.For TEST!!