Detecting and Preventing a Black Hole Attack in VANET

Authors

  • V. Sasirekha Assistant Professor in Computer Science, J.K.K.Nataraja College of Arts & Science, Namakkal, Tamil Nadu, India
  • S. Nithyadevi Assistant Professor in Computer Science, Anbu Arts and Science College, Namakkal, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajcst-2019.8.S1.2015

Keywords:

RSU, AODV, VANET

Abstract

In recent years, Vehicular Adhoc Network is one of fastest ongoing emerging field in the networking industry. But it faces lot of challenges today. Security is the major concern in the VANET. Now a day’s hacking is the hobby of the programmers. Lots of applications were developed for security attack. VANET is a dynamic network, it require secure communication. The VANET is vulnerable to various types of attacks. In this paper we have focused on black hole attack. The Black hole attack may interrupt the packets and insert the false information in the packets and sends to the other vehicle. The receiver of the vehicles is directly affected. Here we developed a mechanism with AODV protocol called blackhole attack detection and prevention which is mainly focused on vehicles sequence number. The source vehicles sequence number compared with the destination vehicles sequence number. If it is larger than the destination vehicle then the vehicle is marked as malicious vehicle. And this vehicles information is send to the Road Side Unit(RSU). The Road Side Unit analyzes the malicious vehicle and blocks the vehicle.

References

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Published

15-01-2019

How to Cite

Sasirekha, V., & Nithyadevi, S. (2019). Detecting and Preventing a Black Hole Attack in VANET. Asian Journal of Computer Science and Technology, 8(S1), 7–9. https://doi.org/10.51983/ajcst-2019.8.S1.2015