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Data and Communication Networks pp 109–121Cite as

Detection of RREQ Flooding Attacks in MANETs

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 847))

Abstract

Mobile Ad hoc Networks (MANETs) are prone to vulnerabilities as a result of lack of centralized management, dynamic topologies, and predefined boundary. There are many attacks that affect the performance of MANETs. Flooding attack is a Denial of Service attack, also known as DoS attack that brings down the network by flooding with a huge amount of route request (RREQ) packets, routed to a destination that does not exist. This paper proposes a robust detection system; a Fuzzy-based Flooding Attack Detection System (FFADS) using a first-order Mamdani-type fuzzy inference system to detect RREQ flooding attacks. This proposed system uses network-specific parameters rather than node-specific factors. Comprehensive simulations are carried out to observe the variations of input parameters with respect to the flooding level of the system. The simulation results reveal that any deviation from the normal behavior of nodes is immediately detected by the proposed system.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, Tiruchirappalli, India

    B. Nithya, Aishwarya Nair & A. S. Sreelakshmi

Authors
  1. B. Nithya
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  2. Aishwarya Nair
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  3. A. S. Sreelakshmi
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Corresponding author

Correspondence to B. Nithya .

Editor information

Editors and Affiliations

  1. University of Canberra, Adelaide, SA, Australia

    Lakhmi C. Jain

  2. Aurel Vlaicu University of Arad, Arad, Romania

    Valentina E. Balas

  3. School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India

    Prashant Johri

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© 2019 Springer Nature Singapore Pte Ltd.

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Nithya, B., Nair, A., Sreelakshmi, A.S. (2019). Detection of RREQ Flooding Attacks in MANETs. In: Jain, L., E. Balas, V., Johri, P. (eds) Data and Communication Networks. Advances in Intelligent Systems and Computing, vol 847. Springer, Singapore. https://doi.org/10.1007/978-981-13-2254-9_10

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  • DOI: https://doi.org/10.1007/978-981-13-2254-9_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2253-2

  • Online ISBN: 978-981-13-2254-9

  • eBook Packages: EngineeringEngineering (R0)

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