Open AccessA Macroscopic Traffic Model-based Approach for Sybil Attack Detection in VANETs
Author(s) -
Arshdeep Singh and Pranab Garg Vikas Kumar Garg
Publication year - 2022
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst050329
Subject(s) - sybil attack , computer security , computer science , traffic flow (computer networking) , key (lock) , principal (computer security) , test (biology) , transport engineering , computer network , engineering , wireless sensor network , paleontology , biology
Vehicular Ad Hoc Network (VANETs) are required to play a significant job in our lives. They will improve trafficsecurity and welcome an upheaval on the driving experience. In any case, these benefits are balancedconceivable assaults that undermine the vehicle's security, yet additionally travelers lives. One of the mostwidely recognized ones is the Sybil assault, which is more risky than others since it could be the beginningstage of numerous different assaults in VANETs. This paper proposes a dispersed methodology permittingthe discovery of Sybil at tacks utilizing the traffic flow hypothesis. The key thought here is that every vehiclewill screen its neighborhood so as to identify a possible Sybil assault. This is accomplished by contrastingbetween the genuine precise speed of the vehicle and the one evaluated utilizing the V2V correspondenceswith vehicles in the region. This evaluated speed is acquired utilizing the traffic flow principal chart of thestreet's segment where the vehicles are moving.A numerical model that assesses the pace of Sybil assault discovery air conditioning cording to the trafficthickness is proposed. At that point, this model is approved through some broad re-enactments directedutilizing the notable NS3 arrange test system together with SUMO traffic test system.