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A Novel Approach for Fake News Detection in Vehicular Ad-Hoc Network (VANET)

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Computational Data and Social Networks (CSoNet 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12575))

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Abstract

In Vehicular ad-hoc network (VANET) vehicles communicate with other vehicles and with the RSU(Road Side Unit). It provides safety and other help to the drivers and the passengers of the vehicles. It is important for Intelligent Transport Systems, hence in recent years the Industrial sector and researchers give it special importance and did much research for its development. In VANET vehicle nodes exchange messages to gain information to make the travel efficient for the passengers of the vehicle. But sometimes attacker start broadcasting the fake news about the surroundings like information of fake accident of traffic jam which in turn produce a negative impact on the safety a efficiency of vehicle. In this paper, we have introduced an entropy-based approach to detect fake news. The attacker uses the spoofed IP address for broadcasting the fake news packets, so we use the entropy of the source IP address for the identification of fake news packets.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, National Institute of Technology Kurukshetra, Kurukshetra, Haryana, India

    Akshat Gaurav & B. B. Gupta

  2. University of Salerno, Fisciano, Italy

    Arcangelo Castiglione

  3. University of Macedonia, Thessaloniki, Macedonia, Greece

    Kostas Psannis

  4. Gachon University, Seongnam, Republic of Korea

    Chang Choi

Authors
  1. Akshat Gaurav
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  2. B. B. Gupta
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  3. Arcangelo Castiglione
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  4. Kostas Psannis
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  5. Chang Choi
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Corresponding authors

Correspondence to Akshat Gaurav or B. B. Gupta .

Editor information

Editors and Affiliations

  1. University of South Florida, Tampa, FL, USA

    Sriram Chellappan

  2. The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. New Jersey Institute of Technology, Newark, NJ, USA

    NhatHai Phan

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Gaurav, A., Gupta, B.B., Castiglione, A., Psannis, K., Choi, C. (2020). A Novel Approach for Fake News Detection in Vehicular Ad-Hoc Network (VANET). In: Chellappan, S., Choo, KK.R., Phan, N. (eds) Computational Data and Social Networks. CSoNet 2020. Lecture Notes in Computer Science(), vol 12575. Springer, Cham. https://doi.org/10.1007/978-3-030-66046-8_32

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  • DOI: https://doi.org/10.1007/978-3-030-66046-8_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66045-1

  • Online ISBN: 978-3-030-66046-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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