Detection of Black Hole in Wireless Sensor Network based on Data Mining

Wireless Sensor Network is fabricated by the deployment of many miniature devices (sensors) which are capable of sensing, communicating and computing. These networks are susceptible to security threats due to unattended deployment of sensors. There are many attacks on information in transit, out of all Black hole attack or packet dropper is a denial of service attack in which an intruder persuades other nodes that it has the best route to the destination, instead it drops or absorbs all the packets preventing them to reach the destination. In this paper an effective Mutable Black hole Unearthing Mechanism is proposed by observing the behavioural changes of the nodes using Data Mining.