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Designing of Fuzzy Logic-Based Intrusion Detection System (FIDS) for Detection of Blackhole Attack in AODV for MANETs

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Cyber Security and Digital Forensics

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 73))

Abstract

Mobile Ad hoc networks (MANETs) are wireless/infrastructure-less and resource-constraint, having collection of nodes with high mobility feature (Ramanathan and Redi in IEEE Commun Magaz 40(5) 2002). It is a challenge to have efficient intrusion detection system (IDS) for such wireless and mobile architecture of systems. Researchers have presented in their research that the fuzzy logic-based intrusion detection systems are more adoptable to MANET’s application because behavior of any mobile node may be visualized in fuzziness characteristics. It is required to design robust IDS system which can sustain and can work efficiently in MANET environments. The work presents the selection of suitable protocol features and fuzzy rules generation which exhibits substantial role for precision of the fuzzy logic-based intrusion detection system (FIDS). Here, set of fuzzy rules have been proposed to protect network against blackhole attack. These set of rules are created using three AODV critical attribute which are rate of RREQ, RREP and Sequence number value. The proposed FIDS, thereafter, evaluated using ns2 simulator and are found efficient to detect and isolate the attacker node from the network. The deployment of FIDS has resulted in increase of throughput of the network.

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Authors and Affiliations

  1. University School of Information, Communication & Technology, Guru Gobind Singh Indraprastha University, Delhi, India

    Ruchi Makani & B. V. R. Reddy

Authors
  1. Ruchi Makani
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  2. B. V. R. Reddy
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Correspondence to Ruchi Makani .

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Editors and Affiliations

  1. The NorthCap University, Gurugram, India

    Kavita Khanna

  2. Departamento of Telecommunications (TET), Universidade Federal Fluminese, Duque de Caxias, Rio de Janeiro, Brazil

    Vania Vieira Estrela

  3. Av. Ministro Petrônio Portela, Universidade Federal Do Piauí, Teresina, Piauí, Brazil

    Joel José Puga Coelho Rodrigues

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Makani, R., Reddy, B.V.R. (2022). Designing of Fuzzy Logic-Based Intrusion Detection System (FIDS) for Detection of Blackhole Attack in AODV for MANETs. In: Khanna, K., Estrela, V.V., Rodrigues, J.J.P.C. (eds) Cyber Security and Digital Forensics . Lecture Notes on Data Engineering and Communications Technologies, vol 73. Springer, Singapore. https://doi.org/10.1007/978-981-16-3961-6_11

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  • DOI: https://doi.org/10.1007/978-981-16-3961-6_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-3960-9

  • Online ISBN: 978-981-16-3961-6

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