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General Information
    • ISSN: 2010-3719 (Online)
    • Abbreviated Title: Int. J. Inf. Electron. Eng.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Executive Editor: Jennifer Zeng
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET), EBSCO.
    • E-mail ijiee@ejournal.net

University of Brunei Darussalam, Brunei Darussalam   
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IJIEE 2012 Vol.2(3): 358-361 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2012.V2.114

A Hybrid System for Detecting Misbehaving Nodes in Ad Hoc Networks

Alireza Shahrbanoonezhad, Dina Sadat Jalali, and Ali Harounabadi
Abstract—In this paper we express a new intrusion detection system based on counters and a cache memory to detect malicious nodes and selfish nodes in ad hoc network. Network survivability, networks performance and network security are important issues in mentioned networks. The presented work enhances the mentioned factors because it doesn’t need heavy computation and also its speed and accuracy in detecting suspicious nodes are great. We simulated our methods by NS2 software. The simulation results show that the proposed method has significant performance.

Index Terms—Intrusion detection system, malicious node, security, ad hoc network.

A. Shahrbanoonezhad is a member of scientific board of Islamic Azad University, Dehloran branch, Dehloran, Iran. Ad hoc is his research fields.
D. Sadat jalali works in the Azad university. Ad hoc is her research fields.
A. Harounabadi works in the Azad university of Tehran Markaz as a member of scientific board. Software engineering is his research fields.


Cite: Alireza Shahrbanoonezhad, Dina Sadat Jalali, and Ali Harounabadi, "A Hybrid System for Detecting Misbehaving Nodes in Ad Hoc Networks," International Journal of Information and Electronics Engineering vol. 2, no. 3, pp. 358-361, 2012.

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