Detection of Spoofing Attack in Wireless Networks Using Fuzzy Logic

Using air as shared medium of wireless networks, attackers easily penetrate the networks. Of most important attacks in wireless networks is spoofing attacks that disrupt or reduce the efficiency of the network. In this paper, using fuzzy logic, a novel method is presented for detection of spoofing attacks in wireless networks on the basis of received signal strength (RSS); it is related to node physical characteristics that cannot simply be spoofed. It is used fuzzy logic due to the fact that behavior of nodes and attackers is different and variable in wireless networks and also RSS is affected by environmental impacts, such as signal loss, shadowing and nodes’ movement, resulting in system uncertainty. In this method, by collecting the values of nodes’ RSS using 4 access points in 802.11 wireless networks, various levels of signals are evaluated, it is estimated through fuzzy rules nodes’ location and they are distinguished through fuzzy rules of attacks. The results of proposed detection method show that detection rate increase, false detection rate and running time decrease comparing other methods.

Keywords:

Spoofing attack , fuzzy logic , RSS