Dynamic intrusion detection method for mobile ad hoc network using CPDOD algorithm

Abstract Mobile Ad hoc networks (MANETs) are susceptible to several types of attacks due to their open medium, lack of centralized monitoring and management point, dynamic topology and other features. Many of the intrusion detection techniques developed on wired networks cannot be directly applied...

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Main Authors: Abdel-Fatah, Farhan, Md Dahalin, Zulkhairi, Jusoh, Shaidah
Format: Article
Language:English
Published: Foundation of Computer Science 2010
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/2846/1/SPE48T_Farhan_Abdel-Fatah.pdf
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author Abdel-Fatah, Farhan
Md Dahalin, Zulkhairi
Jusoh, Shaidah
author_facet Abdel-Fatah, Farhan
Md Dahalin, Zulkhairi
Jusoh, Shaidah
author_sort Abdel-Fatah, Farhan
collection UUM
description Abstract Mobile Ad hoc networks (MANETs) are susceptible to several types of attacks due to their open medium, lack of centralized monitoring and management point, dynamic topology and other features. Many of the intrusion detection techniques developed on wired networks cannot be directly applied to MANET due to special characteristics of the networks. However,all such intrusion detection techniques suffer from performance penalties and high false alarm rates. In this paper, we propose a novel intrusion detection method by combining two anomaly methods Conformal Predictor k-nearest neighbor and Distancebased Outlier Detection (CPDOD) algorithm. A series of experimental results demonstrate that the proposed method can effectively detect anomalies with low false positive rate, high detection rate and achieve higher detection accuracy.
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spelling uum-28462011-05-12T04:24:13Z https://repo.uum.edu.my/id/eprint/2846/ Dynamic intrusion detection method for mobile ad hoc network using CPDOD algorithm Abdel-Fatah, Farhan Md Dahalin, Zulkhairi Jusoh, Shaidah TK Electrical engineering. Electronics Nuclear engineering Abstract Mobile Ad hoc networks (MANETs) are susceptible to several types of attacks due to their open medium, lack of centralized monitoring and management point, dynamic topology and other features. Many of the intrusion detection techniques developed on wired networks cannot be directly applied to MANET due to special characteristics of the networks. However,all such intrusion detection techniques suffer from performance penalties and high false alarm rates. In this paper, we propose a novel intrusion detection method by combining two anomaly methods Conformal Predictor k-nearest neighbor and Distancebased Outlier Detection (CPDOD) algorithm. A series of experimental results demonstrate that the proposed method can effectively detect anomalies with low false positive rate, high detection rate and achieve higher detection accuracy. Foundation of Computer Science 2010 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/2846/1/SPE48T_Farhan_Abdel-Fatah.pdf Abdel-Fatah, Farhan and Md Dahalin, Zulkhairi and Jusoh, Shaidah (2010) Dynamic intrusion detection method for mobile ad hoc network using CPDOD algorithm. IJCA Special Issue on MANETs . pp. 22-29. ISSN 0975-8887 http://www.ijcaonline.org/manets/number1/SPE48T.pdf
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Abdel-Fatah, Farhan
Md Dahalin, Zulkhairi
Jusoh, Shaidah
Dynamic intrusion detection method for mobile ad hoc network using CPDOD algorithm
title Dynamic intrusion detection method for mobile ad hoc network using CPDOD algorithm
title_full Dynamic intrusion detection method for mobile ad hoc network using CPDOD algorithm
title_fullStr Dynamic intrusion detection method for mobile ad hoc network using CPDOD algorithm
title_full_unstemmed Dynamic intrusion detection method for mobile ad hoc network using CPDOD algorithm
title_short Dynamic intrusion detection method for mobile ad hoc network using CPDOD algorithm
title_sort dynamic intrusion detection method for mobile ad hoc network using cpdod algorithm
topic TK Electrical engineering. Electronics Nuclear engineering
url https://repo.uum.edu.my/id/eprint/2846/1/SPE48T_Farhan_Abdel-Fatah.pdf
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