DETECTION OF BLACKHOLE AND GREYHOLE ATTACKS ALONG WITH WORMHOLE ATTACKS IN WIRELESS SENSOR NETWORKS

Abstract

The wireless network coding system is one of the effective ways to improve the performance ofthe wireless network. But this system also knop various kind of threats in the wormhole attack. The wormhole attack debases the performance of the network coding systems. In order to conquer this issue various methods and techniques have been presented. For networks that have centralized authority, a centralized algorithm is used. In this algorithm, the central node is responsible for collect all information about surrounding nodes. It has received the contemporary packets from the nodes and it will analyze the wormhole cases. But the network coding systems also suffer from selective black hole attacks i.e. black hole nodes and grey hole attacks. To overcome this problem, a new approach called Advanced Detection Protocol (ADP) is used to detect and remove both black hole and grey hole attacks. In this method, the IDS nodes are set in promiscuous mode only when required, to detect the irregular activities through the data packets, which are forwarded by the node. When any anomaly is detected, the nearbyIDS node announces the block message, informing all nodes on the network to cooperatively isolate the attacker node from the network. In this approach, the destination node detects the presence of malicious attackers in the route based on the momentous difference between the number of data
packets the source node had sends and the number of data packets it actually receives that has been monitor. The suspicion nodes are then informed to the IDS nodes to isolate the attacker nodes that launch the black hole attack and grey hole attack, from the network. The proposed method is more energy efficient and hence reduces the computation and communication costs