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Performance Analysis of MANET Under Black Hole Attack Using AODV, OLSR and TORA

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Computational Intelligence in Information Systems (CIIS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 532))

Abstract

Black Hole attack is one of the many attacks that can occur on a MANET. It works on the network layer by dropping all incoming packets instead of forwarding them to the destinations. MANET conveys communication in a multi-hop manner from the source node to the destination. But without any security means, the effects of such attack on MANET can disrupt the performance and operations of the network. This paper describes the effect of the attack on MANET that is using AODV, OLSR and TORA routing protocols with the introduction of IPSec protocol under the influence of Black Hole attack. The simulation of the attack is achieved using Riverbed Modeler Academic Edition. Based on the Black Hole attack simulations, MANET suffered the lowest throughput when it is using TORA and the highest using OLSR routing protocol.

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Author information

Authors and Affiliations

  1. School of Computing and Informatics, Universiti Teknologi Brunei, Jalan Tungku Link, Gadong, Brunei Darussalam

    Fatin Hamadah M. A. Rahman & Thien Wan Au

Authors
  1. Fatin Hamadah M. A. Rahman
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  2. Thien Wan Au
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Corresponding author

Correspondence to Thien Wan Au .

Editor information

Editors and Affiliations

  1. School of Computing & Informatics, Universiti Teknologi Brunei School of Computing & Informatics, Gadong, Brunei Darussalam

    Somnuk Phon-Amnuaisuk

  2. School of Computing & Informatics, Universiti Teknologi Brunei School of Computing & Informatics, Gadong, Brunei Darussalam

    Thien-Wan Au

  3. School of Computing & Informatics, Universiti Teknologi Brunei School of Computing & Informatics, Gadong, Brunei Darussalam

    Saiful Omar

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© 2017 Springer International Publishing AG

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Rahman, F.H.M.A., Au, T.W. (2017). Performance Analysis of MANET Under Black Hole Attack Using AODV, OLSR and TORA. In: Phon-Amnuaisuk, S., Au, TW., Omar, S. (eds) Computational Intelligence in Information Systems. CIIS 2016. Advances in Intelligent Systems and Computing, vol 532. Springer, Cham. https://doi.org/10.1007/978-3-319-48517-1_18

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  • DOI: https://doi.org/10.1007/978-3-319-48517-1_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48516-4

  • Online ISBN: 978-3-319-48517-1

  • eBook Packages: EngineeringEngineering (R0)

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