This document proposes methods for detecting spoofing attacks in wireless networks using spatial information from received signal strength. It formulates determining the number of attackers as a multiclass detection problem and develops cluster-based mechanisms. Support vector machines are explored to improve accuracy. An integrated system is developed to localize multiple attackers. Experimental results using WiFi and ZigBee networks show over 90% success in determining the number of attackers, with strong localization accuracy.