Security Against Spoofing Attack In Wireless Environment
Abstract— SPOOFING ATTACK IN WIRELESS ENVIRONMENT is easy to launch as the IP address can be easily
forged. Although the identity of a node can be verified through cryptographic authentication, conventional security
approaches are not always desirable because of their overhead requirements. Spoofing attack can be detected and localized
only for single node. The proposed system use spatial information to detect and localize spoofing attack in multiple nodes.
The spatial correlation of received signal strength (RSS) inherited from wireless nodes detects the spoofing attacks. The
number of attackers can be determined as multi-class detection problem. Cluster-based mechanisms are developed to
determine the number of attackers. When the training data is available, Support Vector Machine (SVM) is used to further
improve the accuracy of determining the number of attackers. The location of the attacker can also be detected based on the
Received Signal Strength. . The proposed methodology will obtain a reliable outcome that could be helpful in identifying
and eliminating certain attacks.