VANET-OLSR Cooperative Cross-Layer Detection for Black hole Attacks

Authors

  • Mahesh Kumar Jangid Professor, Department of Physics, Vivekananda Global University, Jaipur, India Author

Keywords:

Black Hole, Vanets, Cooperative, Packet Forward, Cross Layer

Abstract

In this study, we address the issue of  detecting hot spot problem targeting Multi Point Relays  (MPRs) using Vehicular Ad hoc channels Reactive  Routing protocol (VANET-OLSR). To identify network 

related threats, a watchdog framework has been created in  the literature. This strategy, however, depends on routing  respect to the variable, as it has a high probability of false  positives due to channel collision. As a way to enhance  watchdog detection, we offer a cooperative intrusion  detector is based on cross-layer architectural that relates  both MAC and communication protocol detections. This  is done by counting the number of RTS/CTS (please ask  to send/clear to transmit) requests issued by watchdogs  and detected nodes at the MAC layer, then recalculating  the preventing crimes detection % after integrating the  data with MAC monitors. The identification of channel  collision is aided by cooperative supervision at the  networking and MAC levels, which minimizes the  number of false alarms. The use of cooperating cross  layer architecture improves detection rates and decreases  false positives.ve rate, according to simulation findings. 

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Published

2020-07-04

Issue

Vol. 8 No. 4 (2020): International Journal of Innovative Research in Computer Science and Technology (Jul) 2020

Section

Articles

How to Cite

VANET-OLSR Cooperative Cross-Layer Detection for Black hole Attacks . (2020). International Journal of Innovative Research in Computer Science & Technology, 8(4), 345–348. Retrieved from https://acspublisher.com/journals/index.php/ijircst/article/view/13248