Simulation is widely accepted in Vehicular Ad hoc Network (VANET) research due to the cost, safety and security issues associated with real world implementations and experimentation. However, several important factors must be considered if we expect the simulation results to be realistic, comparable and extendable to the real world, especially when it comes to security issues. These factors can largely be classed under three broad categories i.e. the Grid Pattern, the Communication Settings and the Mobility Pattern. Building on prior work, in this paper, we extend the simulation results of a VANET-based DDoS attack and an anomaly detection mechanism designed to detect the attack. We show that taken these factors into consideration leads to different results, affirming the need for considering these factors in simulations. We also discuss future research directions that result directly from our observations.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Exploring Realistic VANET Simulations for Anomaly Detection of DDoS Attacks


    Beteiligte:


    Erscheinungsdatum :

    2022-06-01


    Format / Umfang :

    1504532 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Exploring Anomaly Detection Techniques for Enhancing VANET Availability

    Weber, Julia Silva / Ferreto, Tiago / Zincir-Heywood, Nur | IEEE | 2023


    WGL-VANET: A web-based visualization tool for VANET simulations

    Gocmenoglu, Can / Acarman, Tankut / Levrat, Bernard | IEEE | 2015


    Context-adaptive detection of insider attacks in VANET information dissemination schemes

    Dietzel, Stefan / van der Heijden, Rens / Petit, Jonathan et al. | IEEE | 2015


    A statistical channel model for realistic simulation in VANET

    Cardote, Andre / Neves, Filipe / Sargento, Susana et al. | IEEE | 2012


    Analysis of VANET wireless networking technologies in realistic environments

    Tahir, M. N. (Muhammad Naeem) / Katz, M. (Marcos) / Rashid, U. (Urooj) | BASE | 2021

    Freier Zugriff