Research Article
Performance Analysis of RACODSR Protocol in Smart Grayhole Attacks on VANets
@ARTICLE{10.4108/eai.1-6-2022.174088, author={Kaoutar Ourouss and Najib Naja and Abdellah Jamali}, title={Performance Analysis of RACODSR Protocol in Smart Grayhole Attacks on VANets}, journal={EAI Endorsed Transactions on Mobile Communications and Applications}, volume={7}, number={21}, publisher={EAI}, journal_a={MCA}, year={2022}, month={6}, keywords={Mobile ad hoc networks, Vehicular networks, DDoS Attacks, Reputation System, Trust Management, ACO}, doi={10.4108/eai.1-6-2022.174088} }- Kaoutar Ourouss
Najib Naja
Abdellah Jamali
Year: 2022
Performance Analysis of RACODSR Protocol in Smart Grayhole Attacks on VANets
MCA
EAI
DOI: 10.4108/eai.1-6-2022.174088
Abstract
As a subclass of Mobile Adhoc Networks (MANets), Vehicular Ad Hoc Network (VANET) is a set of interconnecting vehicles that aim to provide a wide spectrum of encouraging road services, such as safety and traffic management. This key component of Intelligent Transportation Systems (ITS), is impacted by the vehicle’s mobility and suffers from frequent link disruptions caused voluntarily or intentionally by malicious attackers, which make the security issue more challenging and even life-threatening when critical attacks occurred. This work focuses on analyzing the smart grayhole attacks within VANets environments and evaluating the Reputation-based Ant Colony Optimization Dynamic Source Routing (RACODSR) and Dynamic Source Routing (DSR) protocols performances under two different scenarios. For this purpose, VANets mobility models with and without collisions are generated using OpenStreetMap and Simulation of Urban Mobility (SUMO) tools and simulated in Network Simulator NS2 to assess the effectiveness of the compared protocols using the Drop rate, Packet Delivery Ratio, Throughput, Jitter, End-to-End delay, and consumed energy metrics.
Copyright © 2022 Kaoutar Ourouss et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
