Security in DTN is a challenging task. Numbers of misbehaving attacks are present in the network. In this paper we focus on Black Hole attack with the problem of misbehaving and propose a solution based on the concept of threshold and validation. Each node maintains a local value called status of node. A node “status” is the delivery probability of nodes so doing, a misbehaving node is not chosen even though it distributes its increased value of delivery probability. We propose a validation based theory to contrast black hole attack. In validation based theory, acknowledgement of messages is verified to detect normal nodes. On the basis of their acknowledgement we validate that nodes are normal. Normal node is a node which can effectively forward the packets from one place to another. To simulate proposed scheme ONE simulator is used. Keywords: DTN (Delay Tolerance Network), ONE (Opportunistic Network Environment), status, black hole, validationCite this Article Heena Bhutani, Vishal Garg. A Threshold Based Scheme to Detect Black Hole Attack in DTN. Journal of Network Security. 2015; 3(2): 12–19p.
