A DISTRIBUTED APPROACH FOR DETECTING WORMHOLE ATTACK IN WIRELESS NETWORK CODING SYSTEM
Dhanalakshmi Srinivasan · 2016
Wireless Network Coding System is the promising approach to improve the performance of a wireless network. It allows the forwarders to apply encoding schee on what they receive, and they can create and transmit new packets. The idea of mixing packets on each node takes good advantages of the opportunity diversity and broadcast nature of wireless communications. However, wireless networks suffer from a variety of problems such as packet drops, low throughput and routing problems. The major threat in wireless network is wormhole attack. The wormhole attackers can severely disturbs the routing of a network and sends the packet to the distant location. In existing system, connectivity based graph analysis and Timing Based algorithm are used to detect the wormhole attack. These algorithms have difficulty in packet tracking and it does not localize the attacker node in wireless network coding system. Hence, it shows less efficiency in detecting wormhole attack. In this paper, ETX (Expected Transmission Count) is used to calculate the capacity of a node and also the expected total number of transmissions that are needed for a node to transmit the packet successfully. The DAWN algorithm is based on the ETX to detect and report the wormhole attack in wireless network. For each node in the detect phase, it uses the ETX metrics obtained by the node and based on that it detect the attacker node exist in the network. In the report phase, the DAWN algorithm forwards the report about an attacker node that exists in the network to other node.