Received Signal Strength Based Detection and Localization of Multiple Spoofing Attacks in Wireless Networks?

Wireless spoofing attacks are occurs easily and reduce the networks performance. The node identity is verified by cryptographic authentication, due to requirements overhead conventional security approaches are not always suitable. In my paper, I propose to use spatial information, as the basis for detecting spoofing attacks, determining the number of attackers when multiple enemies masquerading as the same node identity and localizing more than one enemies. I propose to use the spatial correlation of received signal strength to detect the spoofing attacks. I then determine the number of attackers. I used Cluster-based mechanisms determine the number of attackers. The Support Vector Machines method used to increase the accuracy of determining the number of attackers. Integrated detection and localization system is used to localize the more than one attacker. I evaluated my techniques using the both an 802.11 network and an 802.15.4 network. When determining the number of attackers by using my method the result attain more than ninety percent hit rate. My localization results using algorithms provide high accuracy of localizing more than one enemy.