Published Paper Details:

In wireless systems, network coding has demonstrated a powerful approach in expanding system performance. But Practically if we see there are numerous security concerns which hinder its wide sending. Other than the very much contemplated black-hole attacks, pollution attacks, there is another serious risk of wormhole attacks. Wormhole attack collapses the execution increase of network coding. As the qualities of network coding are particularly not quite the same as traditional wireless networks. Subsequently the effect of these attacks and countermeasures are obscure. . For the distributed scenarios, we propose a distributed algorithm, DAWN, to detect wormhole attacks in wireless intra flow network coding systems. The main idea of our solutions is that we examine the order of the nodes to receive the innovative packets in the network, and explore its relation with a widely used metric, expected transmission count associated with each node. In this paper we analyzed Distributed Detection algorithm to detect wormhole attack in wireless network coding which is a modified one. It considers the energy factor of the node. Energy of node is the capacity of sending and receiving number of packets in the network.