International Journal of Advanced Networking and Applications (IJANA)
In this paper, the authors present about MANET and classify jamming attacks in 802.11b wireless networks. The number of jamming attack and classification techniques are used. They investigate a multi-modal scheme that models different jamming attacks by discovering the correlation between three parameters: packet delivery ratio, signal strength variation, and pulse width of the received signal. Based on that, profiles are generated in normal scenarios during training sessions which are then compared with test sessions to detect and classify jamming attacks.