Detection of Intruders in Wireless Sensor Networks Using Anomaly
Detecting intruders in wireless sensor networks plays an important role. Security in network aggregation is not an easy task. Sensor network consist of sensor nodes whose operation can be controlled by underlying network. In this paper, sensors are used to sense the temperature, humidity, light, voltage etc. in a particular area. Extended Kalman Filter (EKF) mechanism is proposed to filter the false data in sensor network. The false data can be acted by some event namely malicious, emergency event. Malicious event are acted by intruders, and Emergency event are acted by some accident occurrence e.g. fire.