Localization of Multiple Spoofing attackers at different power levels in wireless networks

The performance of networks can be impact due to attackers in wireless networks. In wireless networks easy to attack and hack the data. We must to prevent or stop wireless network from the attackers. Earlier it can identify the attackers using spatial correlation of received signal strength from wireless nodes, determine the number of attackers using support vector machines for single adversaries, and it can identify the location for single adversaries. We propose to determine the number of attackers when there are multiple adversaries masquerading as the same identity by using support vector networks, which can achieve higher detection rate and more accuracy compare to previous methods. If adversaries enter any anonymous node to communicate network, that node is identified and filtered. Additionally it can accurately localize multiple adversaries even when the attackers varying their transmission power levels to trick the system of their true locations