Distributed detection of flooding and gray hole attacks in Wireless Sensor Network

Wireless Sensor Networks(WSN) when sorted out as groups (clusters) increases throughput, energy savings and decreases delay. These types of WSN rely on cluster heads for data aggregation and transmission towards sink node. Subsequently cluster head nodes are outfitted with high energy. Conventional hierarchical routing protocols were not created considering security; they are helpless against Denial of Service (DoS) attacks. In the event that the information supply process is hampered and in this way the normal administrations get to be inaccessible because of the purposeful endeavors of the enemies, we consider this as a Denial of Service (DoS) attack. So in order to address this issue and to disseminate the computational heap of detection complexity among the cluster heads rather than the sink nodes, a distributed intrusion detection scheme (IDS) is developed. Among the various Denial of Service attacks, Flooding attacks consumes the maximum battery life of the sensor node, on the other hand Gray hole attack consumes the minimum battery life of the nodes. Thus based on energy these attacks are distinguished and isolated from the network using the proposed IDS and extensive simulations are carried out using NS2- MANNASIM framework.