DETECTION OF MALEVOLENT ATTACK USING DELAY TOLERANT NETWORK DURING POST DISASTER

To establish communication in post disaster scenario is a challenging task. Disaster can diminish existing network partially or totally. Smart phone based delay tolerant network (DTN) can help to start communication between nodes in multi hop way. DTN can work in short range communication as with Bluetooth or WIFI connectivity. All the ground nodes can be connected in this way. However, to determine routes in the entire disaster area is more challenging with smart phone based nodes only. We need some Unmanned Aerial Vehicle (UAV) nodes for faster message delivery. Using UAV nodes it is easier to find out routes in disaster scenario than with smart phone based nodes. So, we use some UAV nodes in air communication and coordinate them to deliver messages to ground smart phone based nodes. We use some monitor nodes to track UAV nodes and smart phone based ground nodes. Monitor nodes can find out different malevolent attacks in the network. The malevolent nodes can hamper overall delivery of the network by dropping messages or channelize messages in different route so that they can reach destination in no way. In this paper, we develop some technique to identify malevolent nodes and avoid them during message delivery. Delivery probability is improved in this approach. After the simulation is completed, residual energy still available to continue the simulation further. Simulation is done using Opportunistic Network Environment (ONE) simulator.