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A Secure Framework Based on Nature-Inspired Optimization for Vehicle Routing

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Advances in Computing and Data Sciences (ICACDS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1613))

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Abstract

Vehicular networks are gaining popularity day by day due to their numerous applications provided to the users. Vehicles present in the vehicular network sends and receives information related to traffic congestion, vehicle speed, location, etc. So, security of the information that will be shared in the network among vehicles is a matter of concern. In order to tackle this security issue in the vehicular network, a secure framework has been proposed in this paper. This framework helps in secure communication among vehicles and other components of the network. Further, finding the best and optimal routing path for vehicles is another challenging factor. In this paper, a nature-inspired algorithm has been implemented for vehicle routing which uses Ad-hoc on demand distance vector (AODV) routing protocol to enhance its performance. Performance evaluation shows that the proposed algorithm performs better than the existing schemes for vehicle routing.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, 140 401, India

    Righa Tandon

  2. Department of Computer Science and Engineering, Jaypee University of Information Technology, Solan, 173 234, Himachal Pradesh, India

    Ajay Verma & P. K. Gupta

Authors
  1. Righa Tandon
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  2. Ajay Verma
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  3. P. K. Gupta
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Corresponding author

Correspondence to Righa Tandon .

Editor information

Editors and Affiliations

  1. University of KwaZulu-Natal, Durban, South Africa

    Mayank Singh

  2. Jaypee University of Engineering and Technology, Guna, India

    Vipin Tyagi

  3. Jaypee University of Information Technology, Waknaghat, India

    P. K. Gupta

  4. Institute of Information Theory and Automation, Prague, Czech Republic

    Jan Flusser

  5. University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

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Tandon, R., Verma, A., Gupta, P.K. (2022). A Secure Framework Based on Nature-Inspired Optimization for Vehicle Routing. In: Singh, M., Tyagi, V., Gupta, P.K., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2022. Communications in Computer and Information Science, vol 1613. Springer, Cham. https://doi.org/10.1007/978-3-031-12638-3_7

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  • DOI: https://doi.org/10.1007/978-3-031-12638-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-12637-6

  • Online ISBN: 978-3-031-12638-3

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