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Adapted stream region for packet marking based on DDoS attack detection in vehicular ad hoc networks

  • Raenu KolandaisamyEmail author
  • Rafidah Md. NoorEmail author
  • Muhammad Reza Z’aba
  • Ismail Ahmedy
  • Indraah Kolandaisamy
Article
  • 16 Downloads

Abstract

Vehicular ad hoc networks (VANETs) are a group of nodes that remain dynamically and randomly situated. VANETs are considered as one of the most prominent technologies for improving the efficiency and safety of modern transportation systems. However, the VANET is also subjected to attacks that will weaken the performance of vehicular communication. To enable communication inside the VANET system, a routing protocol helps to determine directions among nodes. VANET network nodes move very quickly from one place to another, and in that time DDoS attacks will occur in the VANET network. Therefore, it is important to implement DDoS attack detection-based communication level on the entire VANET system. The source node will send data or information to the destination using intermediate nodes, whenever a DDoS attack happens in the node. In this paper, an approach is proposed for detection of a DDoS attack in a VANET network by using the adapted stream region scheme. Once the attack occurs in the VANET network, all the data will be damaged or hacked by another attacker. To minimize the DDoS attack and optimize the assigned problem, the author is using packet marking based on adapted stream region (PMBASR) techniques on the network. The PMBASR techniques are used to trace back to the source node, then the node of origin used in RSU server for data request, and at the same time the data will receive a response in the network. Nevertheless, an analytical approach will use PMBASR to detect the DDoS attack and further improve the network performance. Finally, the Ns2 simulation result proves it to be a better result-oriented approach.

Keywords

VANETs DDoS attack Safety application Ns2 simulation 

Notes

Acknowledgements

This work is supported by the Faculty of Computer Science and Information Technology, University of Malaya, under Grant GPF009D-2018 and GPF005D-2018.

Compliance with ethical standards

Conflict of interest

The authors declare that there is no conflict of interest regarding the publication of this paper.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Raenu Kolandaisamy
    • 1
    • 2
    Email author
  • Rafidah Md. Noor
    • 1
    • 4
    Email author
  • Muhammad Reza Z’aba
    • 1
  • Ismail Ahmedy
    • 1
  • Indraah Kolandaisamy
    • 3
  1. 1.Faculty of Computer Science and Information TechnologyUniversity of MalayaKuala LumpurMalaysia
  2. 2.Faculty of Business and Information ScienceUCSI UniversityKuala LumpurMalaysia
  3. 3.School of Business ManagementUniversity Utara MalaysiaSintokMalaysia
  4. 4.Center for Mobile Cloud Computing Research (C4MCCR), Faculty of Computer Science and Information TechnologyUniversity of MalayaKuala LumpurMalaysia

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