A Probabilistic Black Hole & Gray Hole Attacks Detection Scheme for Vehicular Ad-Hoc Network
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 122 | Views: 326

Research Paper | Computer Science & Engineering | India | Volume 7 Issue 5, May 2018 | Popularity: 6.6 / 10


     

A Probabilistic Black Hole & Gray Hole Attacks Detection Scheme for Vehicular Ad-Hoc Network

Arpita Rathod, Prof. Shreya Patel


Abstract: Vehicular Ad-hoc Network is a technology which conduce the vehicle to interconnect with each other through a wireless network. So that it can way and locate other vehicles to manage road safety. Security is a major issue in vehicular ad-hoc network as it can be peoples life in danger. The black hole attack is a pattern of a denial of service attack that makes a difference for data traffic in VANET. A gray hole attack is a technique in which the vindictive node just drops the packet from some decided node in the network and forwards all other packets to its destination. We will provide a suitable solution for a low solidity network where each car moves in a straight line and submit or assign packets to other neighboring cars using a routing protocol. NS2 is a simulation tool which is used to design and imitate our proposed method. I analyzed variable parameters like a packet delivery ratio (PDR), delay and throughput.


Keywords: VANET, RSU, black hole attack, gray hole attack


Edition: Volume 7 Issue 5, May 2018


Pages: 164 - 167



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Arpita Rathod, Prof. Shreya Patel, "A Probabilistic Black Hole & Gray Hole Attacks Detection Scheme for Vehicular Ad-Hoc Network", International Journal of Science and Research (IJSR), Volume 7 Issue 5, May 2018, pp. 164-167, https://www.ijsr.net/getabstract.php?paperid=ART20182048, DOI: https://www.doi.org/10.21275/ART20182048

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