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Modelling and Detection of Worm Propagation for Web Vehicular Ad Hoc Network (WVANET)

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Abstract

Web Vehicular Ad Hoc Network becomes the major research platform these days. This web vehicular ad hoc network is fundamentally different from the earlier vehicular ad hoc network communication models as it makes use of web technology to disseminate the messages among the nodes. When web technology is integrated in vehicular ad hoc network, the communication performance is greatly increased. However, the new web vehicular ad hoc network communication model should be prevented from various security threats. The major security threat to web vehicular ad hoc network is worm propagation. As web VANET operates through web technology, it is possible to the nodes to get infected with the worms. Once a node is infected with worm, it can spread out to the other nodes in the network that are vulnerable. This worm can propagate to all the vulnerable nodes and infect them within a fraction of time. The entire communication architecture can be collapsed due to this worm propagation and even these worms can broadcast false messages in the network to create accidents or to divert the nodes in such a way it will lead to collision. All the nodes should not be vulnerable to prevent itself from worm infection. This paper provides the worm propagation model for web vehicular ad hoc network. Further it provides detection measures of worm to enhance the security concern of web vehicular ad hoc network.

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Authors and Affiliations

  1. Department of Computer Science, St. Jerome’s College, Nagercoil, Tamil Nadu, India

    M. Milton Joe

  2. Department of Computer Science and Research Centre, S.T. Hindu College, Nagercoil, Tamil Nadu, India

    B. Ramakrishnan

  3. EverScience Publications, Nagercoil, Tamil Nadu, India

    S. Karthika Bai

  4. Department of Computer Science and Engineering, St. Xavier’s Catholic College of Engineering, Nagercoil, Tamil Nadu, India

    R. S. Shaji

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  1. M. Milton Joe
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  2. B. Ramakrishnan
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  4. R. S. Shaji
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Correspondence to M. Milton Joe.

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Milton Joe, M., Ramakrishnan, B., Karthika Bai, S. et al. Modelling and Detection of Worm Propagation for Web Vehicular Ad Hoc Network (WVANET). Wireless Pers Commun 109, 223–241 (2019). https://doi.org/10.1007/s11277-019-06561-1

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