Jamming Attack Detection Using EWMA in Clustered Wireless Sensor Network

Wireless Sensor Networks (WSN) are one among the most promising networks, with a lot of applications in healthcare, agriculture, weather forecasting and military etc. Due to their shared medium, wireless networks are susceptible to many security attacks. DoS jamming attacks are one among them that interrupt the normal activities of sensor the nodes in wireless network by sending RF signals to jam the communication channel, either knowingly or unknowingly. This work gives a step-by-step approach using Exponentially Weighted Moving Average (EWMA) algorithm by using the Signal to Noise Ratio (SNR) of the received packet as a metric which determines the presence of a jamming attack in a clustered wireless sensor network based on the measured value. Also, some of the parameters such as delay and throughput are analysed using a graph. Result shows that the approach can detect jamming attacks efficiently and nodes that generate jamming attacks are removed from the network.