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Road Safety Against Sybil Attacks Based on RSU Collaboration in VANET Environment

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Book cover Mobile, Secure, and Programmable Networking (MSPN 2019)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 11557))

Abstract

Vehicular Ad-hoc Network (VANET) is a special case of an Ad hoc mobile network formed by vehicles communicating directly with each other or via a wireless infrastructure called the Road Side Unit (RSU). Like all similar networks, VANET is more concerned with Sybil attacks where a malicious attacking node sends messages with multiple identities to other nodes in the network. Thus, causing a general malfunction of the network, which gives the illusion of a problem of traffic like traffic jam or a virtual accident. So, honest vehicles change their path or leave the road for the benefit of ‘attacker’. In this paper, we present an effective solution against this severe threat by using a distributed and collaborative technique between RSUs allowing the detection of Sybil vehicles based on their real positions.

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Authors and Affiliations

  1. SAEDD Laboratory, EST Essaouira, Cadi Ayyad University, Marrakesh, Morocco

    Said Benkirane

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  1. Said Benkirane
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Correspondence to Said Benkirane .

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Editors and Affiliations

  1. Télécom SudParis, Évry, France

    Éric Renault

  2. Conservatoire National des Arts et Métiers, Paris, France

    Selma Boumerdassi

  3. Hassan II Mohammedia University, Mohammedia, Morocco

    Cherkaoui Leghris

  4. Conservatoire National des Arts et Métiers, Paris, France

    Samia Bouzefrane

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Benkirane, S. (2019). Road Safety Against Sybil Attacks Based on RSU Collaboration in VANET Environment. In: Renault, É., Boumerdassi, S., Leghris, C., Bouzefrane, S. (eds) Mobile, Secure, and Programmable Networking. MSPN 2019. Lecture Notes in Computer Science(), vol 11557. Springer, Cham. https://doi.org/10.1007/978-3-030-22885-9_15

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  • DOI: https://doi.org/10.1007/978-3-030-22885-9_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22884-2

  • Online ISBN: 978-3-030-22885-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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