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Evolving Trust Formula to Evaluate Data Trustworthiness in VANETs Using Genetic Programming

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Book cover Applications of Evolutionary Computation (EvoApplications 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11454))

Abstract

Vehicular Ad Hoc Networks (VANETs) provide traffic safety, improve traffic efficiency and present infotainment by sending messages about events on the road. Trust is widely used to distinguish genuine messages from fake ones. However, trust management in VANETs is a challenging area due to their dynamically changing and decentralized topology. In this study, a genetic programming based trust management model for VANETs is proposed to properly evaluate trustworthiness of data about events. A large number of features is introduced in order to take into account VANETs’ complex characteristics. Simulations with bogus information attack scenarios show that the proposed trust model considerably increase the security of the network.

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Author information

Authors and Affiliations

  1. WISE Lab., Department of Computer Engineering, Hacettepe University, Ankara, Turkey

    Mehmet Aslan & Sevil Sen

Authors
  1. Mehmet Aslan
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  2. Sevil Sen
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Corresponding author

Correspondence to Mehmet Aslan .

Editor information

Editors and Affiliations

  1. University of Mainz, Mainz, Germany

    Paul Kaufmann

  2. University of Granada, Granada, Spain

    Pedro A. Castillo

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Aslan, M., Sen, S. (2019). Evolving Trust Formula to Evaluate Data Trustworthiness in VANETs Using Genetic Programming. In: Kaufmann, P., Castillo, P. (eds) Applications of Evolutionary Computation. EvoApplications 2019. Lecture Notes in Computer Science(), vol 11454. Springer, Cham. https://doi.org/10.1007/978-3-030-16692-2_28

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  • DOI: https://doi.org/10.1007/978-3-030-16692-2_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-16691-5

  • Online ISBN: 978-3-030-16692-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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