Research Article | OPEN ACCESS
Repeated Node Taxonomy Method for Intrusion Detection in Mobile Ad Hoc Network
1R. Saravanan and 2E. Ilavarasan
1Department of Computer Science and Engineering, Manomaniam Sundaranar University and Saveetha Engineering College, Tamil Nadu
2Department of Computer Science and Engineering, Pondicherry Engineering
College, Puducherry, India
Research Journal of Applied Sciences, Engineering and Technology 2015 4:277-281
Received: August 01, 2014 | Accepted: September 13, 2014 | Published: February 05, 2015
Abstract
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).
Keywords:
Energy, link strength, malicious node, Mobile Ad Hoc Network (MANET) , performance analysis,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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