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Trust-Based Fuzzy Bat Optimization Algorithm for Attack Detection in Manet

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Smart Innovations in Communication and Computational Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1168))

Abstract

Mobile nodes dynamically form a multi-hop wireless networks which are termed as mobile ad hoc networks (MANETs). Centralized infrastructure is not required for the operation of MANETs. They are non-fixed infrastructure networks, and there are so many issues with them because of their dynamic topology, mobile nodes, security, bandwidth constraints, limited battery backup, etc. Trust is an association, trustworthiness, reliability and faithfulness of the nodes in the network. This paper discusses about the trust and trust computations. In this work, a trust-based fuzzy bat (TBF) optimization model is proposed and implemented to mitigate the effects of attacks. Various network environments are used to perform sensitivity analysis. Performance metrics like normalized routing overhead and packet delivery ratio are used for evaluation. Values of trust update interval, weight of trust component and distrust threshold are varied. A security solution is ensured using fuzzy bat with trust evaluation model in an untrusted environment of MANETs. The result concludes that the proposed TFB algorithm provides higher lifetime of a network and throughput and lower consumption of energy and end-to-end delay than the existing approaches.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering & Applications, GLA University, Mathura, UP, 281406, India

    Rakesh Kumar & Shashi Shekhar

Authors
  1. Rakesh Kumar
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  2. Shashi Shekhar
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Corresponding author

Correspondence to Shashi Shekhar .

Editor information

Editors and Affiliations

  1. Computer Science Engineering Department, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  2. Department of Computer Science and Engineering, National Institute of Technology Agartala, Agartala, Tripura, India

    Munesh C. Trivedi

  3. Computer Science Engineering Department, Motilal Nehru National Institute of Technology Allahabad, Allahabad, Uttar Pradesh, India

    Krishn Kumar Mishra

  4. Computer Science Engineering Department, Motilal Nehru National Institute of Technology Allahabad, Allahabad, Uttar Pradesh, India

    A.K. Misra

  5. Department of Digital Technologies, University of Mauritius, Reduit, Moka, Mauritius

    Khedo Kavi Kumar

  6. Information Systems Department, Faculty of Information and Communication Technology, Institut Teknologi Sepuluh Nopember (ITS), Surabaya, Indonesia

    Erma Suryani

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Kumar, R., Shekhar, S. (2021). Trust-Based Fuzzy Bat Optimization Algorithm for Attack Detection in Manet. In: Tiwari, S., Trivedi, M., Mishra, K., Misra, A., Kumar, K., Suryani, E. (eds) Smart Innovations in Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 1168. Springer, Singapore. https://doi.org/10.1007/978-981-15-5345-5_1

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