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...

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Main Authors: Jayakumar Kaliappan, Revathi Thiagarajan, Karpagam Sundararajan
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2015/314601
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author Jayakumar Kaliappan
Revathi Thiagarajan
Karpagam Sundararajan
author_facet Jayakumar Kaliappan
Revathi Thiagarajan
Karpagam Sundararajan
author_sort Jayakumar Kaliappan
collection DOAJ
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.
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institution OA Journals
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publishDate 2015-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-62b72aaa05cf4625a1de82b0bd5481d22025-08-20T02:24:00ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/314601314601Fusion of Heterogeneous Intrusion Detection Systems for Network Attack DetectionJayakumar Kaliappan0Revathi Thiagarajan1Karpagam Sundararajan2Computer Science and Engineering, Kamaraj College of Engineering and Technology, Tamilnadu 626 001, IndiaInformation Technology, Mepco Schlenk Engineering College, Tamilnadu 626 005, IndiaComputer Science and Engineering, Kamaraj College of Engineering and Technology, Tamilnadu 626 001, IndiaAn 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.http://dx.doi.org/10.1155/2015/314601
spellingShingle Jayakumar Kaliappan
Revathi Thiagarajan
Karpagam Sundararajan
Fusion of Heterogeneous Intrusion Detection Systems for Network Attack Detection
The Scientific World Journal
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
url http://dx.doi.org/10.1155/2015/314601
work_keys_str_mv AT jayakumarkaliappan fusionofheterogeneousintrusiondetectionsystemsfornetworkattackdetection
AT revathithiagarajan fusionofheterogeneousintrusiondetectionsystemsfornetworkattackdetection
AT karpagamsundararajan fusionofheterogeneousintrusiondetectionsystemsfornetworkattackdetection