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Data mining based approach for routing anomaly detection in MANET


Article Information

Title: Data mining based approach for routing anomaly detection in MANET

Authors: S. B. Ninu, S. Behin Sam

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2017

Volume: 12

Issue: 4

Language: English

Categories

Abstract

An ad hoc routing protocol is a convention, or standard, that controls how nodes decide which way to route packets between computing devices in a mobile ad-hoc network. Anomalous route request and route reply will cause severe damage in the communication process. In order to identify these types of anomalies, MANETs require the use of data mining to extract information and patterns derived by the knowledge in routing process. In this paper we present a data mining based anomaly detection system which will identify two types of routing anomalies or attacks. The first one is false route request attack and the second one is false route reply attack. We show that the proposed method provides significant prediction accuracy.


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