With the increment in human populace and financial advancement, the populace of private vehicles on the street has likewise expanded. This has brought about expanded mishap likelihood and fatalities on the streets. Vehicular Ad hoc Networks (VANETs) have indicated guarantee of cutting down street mishaps and fatalities thereof by empowering correspondence between vehicles. VANETs likewise enable the street administrators to control and screen vehicles for rash driving and snappy help. Be that as it may, these systems face difficulties of Design, Routing, Communication, and Security. Utilization of remote vehicle for correspondence has left these systems powerless against various sort of security assaults. One of the significant helplessness in such systems is caused when a malignant vehicle or RSU can gain different characters. The assault is named as Sybil Attack. In VANETs, a noxious vehicle may send wrong messages identified with traffic, mishap ahead, street shut, and so on. This may compel the engine driver to take an alternate course, hence making him inclined to an untoward occurrence. In this paper, we have used different methodologies like PKC, PVM, and RTM techniques to detect Sybil attack in VANET.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Dealing with Sybil Attack in VANET


    Weitere Titelangaben:

    Smart Innovation, Systems and Technologies


    Beteiligte:
    Mishra, Debahuti (Herausgeber:in) / Buyya, Rajkumar (Herausgeber:in) / Mohapatra, Prasant (Herausgeber:in) / Patnaik, Srikanta (Herausgeber:in) / Pattanayak, Binod Kumar (Autor:in) / Pattnaik, Omkar (Autor:in) / Pani, Sasmita (Autor:in)


    Erscheinungsdatum :

    31.10.2020


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Sybil Attack in VANET Operating in an Urban Environment: An Overview

    Velayudhan, Nitha C. / Anitha, A. | Springer Verlag | 2020


    A Novel Approach to Detection of and Protection from Sybil Attack in VANET

    Pattanayak, Binod Kumar / Pattnaik, Omkar / Pani, Sasmita | Springer Verlag | 2020


    AntiSybil: Standing against Sybil Attacks in Privacy-Preserved VANET

    Hussain, Rasheed / Oh, Heekuck / Kim, Sangjin | IEEE | 2012


    Fast tracing method for Sybil attack in VANETs

    Zhang, Zhaoyi / Lai, Yingxu / Chen, Ye et al. | IEEE | 2023


    Trust-Aware Sybil Attack Detection for Resilient Vehicular Communication

    Thomas, Mortan / Borah, Abinash / Paranjothi, Anirudh | ArXiv | 2024

    Freier Zugriff