Detection, Localization And Prevention Of Spoofing Attacks In Wireless Network

The performance of networks can be severely damaging by the use of wireless spoofing networks. Since they can be easily established, the attacker doesn’t find much hassles in destroying these networks. Although the identity of a node can be verified through cryptographic authentication, conventional security approaches are not always desirable because of their overhead requirements. We will use this spatial information, a physical property associated with each node, hard to falsify, and not reliant on cryptography, as the basis for 1) detecting spoofing attacks 2) determining the number of attackers when multiple adversaries masquerading as the same node identity 3) localizing multiple adversaries. 4) Preventing the attacks. We propose to use the spatial correlation of received signal strength (RSS) inherited from wireless nodes to detect the spoofing attacks. We then formulate the problem of determining the number of attackers as a multi-class detection problem. Cluster-based mechanisms are developed to determine the number of attackers. In existing systems, the attacker is detected after it has attacked so in order to prevent the attack, we will consider what the attacker is requesting from the server. There will be an intermediate node between server and the attacker so as to prevent the traffic on server and based on the analyzed data from the intermediate node we will decide whether the requester is an attacker or a trusted user.