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Trust Computation in VANET Cloud

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Book cover Transactions on Computational Science XXXIV

Part of the book series: Lecture Notes in Computer Science ((TCOMPUTATSCIE,volume 11820))

Abstract

In this paper, we present a mechanism for trust computation in VANET cloud. The presence of VANET cloud allows vehicles to store their past trust values of other vehicles. These values are utilized for fast trust computation by other vehicles. The mechanism takes into consideration the uncertainty and fuzziness associate with trust values by incorporating DST (Dempster Shafer Theory) and fuzzy analyzer. The change in trust value due to action of a vehicle is done through a reward & penalty scheme. This proposed mechanism optimizes the execution and computation of a batch of simulations, increasing the overall performance, in terms of simulation time and costs. Simulation results indicate the DST based fuzzy trust mechanism is able to manage the trust of vehicles efficiently in the VANET cloud environment.

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Authors and Affiliations

  1. Indian Institute of Information Technology, Lucknow, UP, India

    Brijesh Kumar Chaurasia

  2. ITM University Gwalior, Gwalior, MP, India

    Kapil Sharma

Authors
  1. Brijesh Kumar Chaurasia
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  2. Kapil Sharma
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Correspondence to Brijesh Kumar Chaurasia .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, Calgary, AB, Canada

    Marina L. Gavrilova

  2. Sardina Systems OÜ, Tallinn, Estonia

    C.J. Kenneth Tan

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Chaurasia, B.K., Sharma, K. (2019). Trust Computation in VANET Cloud. In: Gavrilova, M., Tan, C. (eds) Transactions on Computational Science XXXIV. Lecture Notes in Computer Science(), vol 11820. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-59958-7_5

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  • DOI: https://doi.org/10.1007/978-3-662-59958-7_5

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  • Print ISBN: 978-3-662-59957-0

  • Online ISBN: 978-3-662-59958-7

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