An Improved Method of Detecting Spoofed Attack in Wireless LAN

The spoofing threats in wireless network increases with its popularity. They are the generator of all other attacks in wireless network. Free availability of MAC address changing tools over internet makes adversary ease in changing its identity as legitimate user. Detection of adversary presence avoids the launching of other wireless attacks. Presently known anomaly detection methods leave some attacks undetected. This paper analyze the possible reasons for generating false positive and false negative in Forge Resistance Relationship spoof detection method and proposed an improved method with reduced false alarms. The comparison of detecting the anomalous packet between improved method and its parent Forge Resistance Relationship Method is done in various network scenarios.