Repeated Node Taxonomy Method for Intrusion Detection in Mobile Ad Hoc Network

摘要

The vital aim of the proposed node taxonomy method in Mobile Ad hoc Network (MANET) is to prevent the normal or good nodes present in the network from some infected nodes. The tainted individual nodes present in the network may affect the normal unaffected nodes in the network. To overcome that, this study proposes a novel node taxonomy method which uses the adjacency matrix. The entries in the adjacency matrix are the link strength between the nodes. The concept behind the proposed method, the node which is connected with super threshold number of known adversaries is classified as adversary. As the link between the mobile nodes changes dynamically, the node taxonomy algorithm should be executed recursively to filter out the malicious node in the network. The proposed taxonomy method has low computational cost and consumes less energy for detecting the malicious node. The proposed method is evaluated by using the Network Simulator (NS2).