Intelligent Transportation Systems can play a valuable role in providing traffic control, road safety, and communications among vehicles. Vehicular Ad Hoc Network (VANET) is a network useful for providing communications between vehicles on road and is playing a predominant role in modern intelligent transportation systems. But the high mobility of vehicles in vanet and its inconsistent connections in the network make it highly susceptible to security threats to vehicles. The fiercest attacks in vanet are the Black Hole attack and the Sybil attack. In Black hole attack, the attacker vehicle, at the time of routing represents itself with the smallest and most desired route to the destination and hence communication with other legitimate nodes starts with this attacker node. Now the attacker vehicle can drop all the packets or send the information to other malicious vehicles. In Sybil attack the malicious vehicle sends fake alert message of high traffic to RSU and then RSU alerts other vehicles on the road of false high traffic with the intention of a malicious vehicle.

    The proposed algorithm in this research paper prevents the black hole attack and Sybil attack by using the encrypted identity of vehicles in the network making vanet secure from black hole attack and Sybil attack.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Detection and Prevention of Black Hole Attack and Sybil Attack in Vehicular Ad Hoc Networks


    Weitere Titelangaben:

    Communic.Comp.Inf.Science


    Beteiligte:
    Chaubey, Nirbhay (Herausgeber:in) / Jhanjhi, Noor Zaman (Herausgeber:in) / Thampi, Sabu M. (Herausgeber:in) / Parikh, Satyen (Herausgeber:in) / Amin, Kiran (Herausgeber:in) / Yadav, Dhananjay (Autor:in) / Chaubey, Nirbhay Kumar (Autor:in)

    Kongress:

    International Conference on Computing Science, Communication and Security ; 2024 ; Gujarat, India February 05, 2024 - February 06, 2024



    Erscheinungsdatum :

    19.12.2024


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Privacy Aware Prevention of Sybil Attack in Vehicular Ad Hoc Networks

    Kumar, Rajeev / Chauhan, Naveen / Kumar, Pushpender et al. | Springer Verlag | 2020


    Trust-Aware Sybil Attack Detection for Resilient Vehicular Communication

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

    Freier Zugriff

    Sybil attack detection in vehicular network based on received signal strength

    Shrestha, Rakesh / Djuraev, Sirojiddin / Nam, Seung Yeob | IEEE | 2014



    Dealing with Sybil Attack in VANET

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