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Fusion of Heterogeneous Intrusion Detection Systems for Network Attack Detection
An intrusion detection system (IDS) helps to identify different types of attacks in general, and the detection rate will be higher for some specific category of attacks. This paper is designed on the idea that each IDS is efficient in detecting a specific type of attack. In proposed Multiple IDS Uni...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4532955/ https://www.ncbi.nlm.nih.gov/pubmed/26295058 http://dx.doi.org/10.1155/2015/314601 |
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author | Kaliappan, Jayakumar Thiagarajan, Revathi Sundararajan, Karpagam |
author_facet | Kaliappan, Jayakumar Thiagarajan, Revathi Sundararajan, Karpagam |
author_sort | Kaliappan, Jayakumar |
collection | PubMed |
description | An intrusion detection system (IDS) helps to identify different types of attacks in general, and the detection rate will be higher for some specific category of attacks. This paper is designed on the idea that each IDS is efficient in detecting a specific type of attack. In proposed Multiple IDS Unit (MIU), there are five IDS units, and each IDS follows a unique algorithm to detect attacks. The feature selection is done with the help of genetic algorithm. The selected features of the input traffic are passed on to the MIU for processing. The decision from each IDS is termed as local decision. The fusion unit inside the MIU processes all the local decisions with the help of majority voting rule and makes the final decision. The proposed system shows a very good improvement in detection rate and reduces the false alarm rate. |
format | Online Article Text |
id | pubmed-4532955 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-45329552015-08-20 Fusion of Heterogeneous Intrusion Detection Systems for Network Attack Detection Kaliappan, Jayakumar Thiagarajan, Revathi Sundararajan, Karpagam ScientificWorldJournal Research Article An intrusion detection system (IDS) helps to identify different types of attacks in general, and the detection rate will be higher for some specific category of attacks. This paper is designed on the idea that each IDS is efficient in detecting a specific type of attack. In proposed Multiple IDS Unit (MIU), there are five IDS units, and each IDS follows a unique algorithm to detect attacks. The feature selection is done with the help of genetic algorithm. The selected features of the input traffic are passed on to the MIU for processing. The decision from each IDS is termed as local decision. The fusion unit inside the MIU processes all the local decisions with the help of majority voting rule and makes the final decision. The proposed system shows a very good improvement in detection rate and reduces the false alarm rate. Hindawi Publishing Corporation 2015 2015-07-29 /pmc/articles/PMC4532955/ /pubmed/26295058 http://dx.doi.org/10.1155/2015/314601 Text en Copyright © 2015 Jayakumar Kaliappan et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Kaliappan, Jayakumar Thiagarajan, Revathi Sundararajan, Karpagam Fusion of Heterogeneous Intrusion Detection Systems for Network Attack Detection |
title | Fusion of Heterogeneous Intrusion Detection Systems for Network Attack Detection |
title_full | Fusion of Heterogeneous Intrusion Detection Systems for Network Attack Detection |
title_fullStr | Fusion of Heterogeneous Intrusion Detection Systems for Network Attack Detection |
title_full_unstemmed | Fusion of Heterogeneous Intrusion Detection Systems for Network Attack Detection |
title_short | Fusion of Heterogeneous Intrusion Detection Systems for Network Attack Detection |
title_sort | fusion of heterogeneous intrusion detection systems for network attack detection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4532955/ https://www.ncbi.nlm.nih.gov/pubmed/26295058 http://dx.doi.org/10.1155/2015/314601 |
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