WATCHDOG MECHANISM FOR PREVENTING MULTIPLE SPOOFING ATTACKERS IN WIRELESS NETWORKS?

Spoofing attack is an identity based attack through which one can successfully masquerade the ID of other node to create multiple illegitimate identities that highly affect the performance of wireless sensor network. The identification of spoofing attackers, determining the number of attackers, localizing multiple adversaries and eliminating them is a challenging task in Wireless Sensor Network. The clustering approach is used to detect the spoofing attackers and localize them. This approach did not predict the attackers accurately. To overcome this problem, this dissertation proposes Watchdog mechanism to detect the spoofing attackers. The watchdog monitoring mechanism monitors and records its neighbors’ behaviors such as packet transmission which helps to identify the misbehaving nodes in wireless sensor network. Analytical and simulation experiment result shows that the proposed scheme detects the attackers in Wireless Sensor Network in efficiently and robustly with the cost of reasonable overheads.