Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Sybil attack detection in VAVET by using neighbouring vehicles in Wireless Sensor Networks
PaperId: :  15496
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 5 2021
DUI:    16.0415/IJARIIE-15496
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
AMANDEEP RIET PHAGWARA
NAVEEN DHILLONRIET PHAGWARA

Abstract

COMPUTER ENGINEERING
UNIX, VANET , NS2
Abstract - Wireless Sensor Networks play a major role in revolutionizing the world by its sensing technology. Wireless Sensor Networks (WSNs) has emerged as that powerful technology which has multiple applications such as such as military operations, surveillance system and Intelligent Transport Systems (ITS). One severe attack is Sybil attack, in which a malicious node forges large number of fake identities in order to disrupt the proper functioning of VANET applications. Fake information reported by a single malicious vehicle may not be highly convincing because most of the VANET applications require several vehicles to reinforce a particular information before accepting as a truth. A Sybil attacker pretends multiple vehicles in order to reinforce false messages. . In the recent times, various techniques have been proposed for the detection of malicious node from the network. The proposed techniques is based on monitor mode and distance based techniques. The vehicles and the elements that are present at the roadside are connected to each other for the purpose of communication and this network is self-configuring in nature, this is the reason that communication can be done inefficient manner through the network. Motivation behind the design of proposed approach is to locate Sybil nodes quickly without using secret information exchange and special hardware. The simulation is been performed in NS2. NS2 is an open – source simulation tool running on Unix – like operating systems. In our research, straightforwardly study the impact of parameters such as wireless communication range, vehicular densities, distance between source the destination, and minimum and maximum vehicle speeds on the end-to-end delay. The results shows that purposed technique shows good results in terms of various parameter. Here some perimeters are packet loss, throughput and routing overhead. Extensive simulation results demonstrate the accuracy of our analysis.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE AMANDEEP , and NAVEEN DHILLON. "Sybil attack detection in VAVET by using neighbouring vehicles in Wireless Sensor Networks" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 5 2021 Page 1278-1283
MLA AMANDEEP , and NAVEEN DHILLON. "Sybil attack detection in VAVET by using neighbouring vehicles in Wireless Sensor Networks." International Journal Of Advance Research And Innovative Ideas In Education 7.5(2021) : 1278-1283.
APA AMANDEEP , & NAVEEN DHILLON. (2021). Sybil attack detection in VAVET by using neighbouring vehicles in Wireless Sensor Networks. International Journal Of Advance Research And Innovative Ideas In Education, 7(5), 1278-1283.
Chicago AMANDEEP , and NAVEEN DHILLON. "Sybil attack detection in VAVET by using neighbouring vehicles in Wireless Sensor Networks." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 5 (2021) : 1278-1283.
Oxford AMANDEEP , and NAVEEN DHILLON. 'Sybil attack detection in VAVET by using neighbouring vehicles in Wireless Sensor Networks', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 5, 2021, p. 1278-1283. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Sybil_attack_detection_in_VAVET_by_using_neighbouring_vehicles_in_Wireless_Sensor_Networks_ijariie15496.pdf (Accessed : ).
Harvard AMANDEEP , and NAVEEN DHILLON. (2021) 'Sybil attack detection in VAVET by using neighbouring vehicles in Wireless Sensor Networks', International Journal Of Advance Research And Innovative Ideas In Education, 7(5), pp. 1278-1283IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Sybil_attack_detection_in_VAVET_by_using_neighbouring_vehicles_in_Wireless_Sensor_Networks_ijariie15496.pdf (Accessed : )
IEEE AMANDEEP , and NAVEEN DHILLON, "Sybil attack detection in VAVET by using neighbouring vehicles in Wireless Sensor Networks," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 5, pp. 1278-1283, Sep-Oct 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Sybil_attack_detection_in_VAVET_by_using_neighbouring_vehicles_in_Wireless_Sensor_Networks_ijariie15496.pdf [Accessed : ].
Turabian AMANDEEP , and NAVEEN DHILLON. "Sybil attack detection in VAVET by using neighbouring vehicles in Wireless Sensor Networks." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 5 ().
Vancouver AMANDEEP , and NAVEEN DHILLON. Sybil attack detection in VAVET by using neighbouring vehicles in Wireless Sensor Networks. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(5) : 1278-1283. Available from: https://ijariie.com/AdminUploadPdf/Sybil_attack_detection_in_VAVET_by_using_neighbouring_vehicles_in_Wireless_Sensor_Networks_ijariie15496.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Leveraging AWS for Developing and Hosting a Dynamic Food Ordering Web ApplicationComputer EngineeringAfshin Khanam Download
Edge-to-Cloud Synergy: An Autoencoder-GAN Framework for Anomaly Detection in Healthcare Records, Financial Statements, and Secure Cloud StorageInformation TechnologyKarthik Kushala Download
E-Commerce Fraud Detection Based on Machine Learning TechniquesComputer Science EngneeringVikram Ankush Ade Download
Detection of Phishing Website Using Gradient Boosting AlgorithmComputer Science and EngineeringYAWALKAR PRASAD PRAMOD Download
Property Dealing WebComputer Science EngineeringYash Chaudhari Download
Reinforcement Learning for the Evolution of Antimicrobial Nano formulationsmachine learningMadhusudan Download
SecuraVault: A secured blockchain based cloud storage systemComputer Engineering Anshika Jaiswal Download
Autoimmune Disease Detection in women Using Machine Learning Approachcomputer science EngineeringJ. L. V. S. Download
Medicine Overdose Detection System Using Machine LearningComputer Science EngineeringDr.Somashekhar B M Download
Home Price Prediction Using Machine LearningComputer Science & Engineering G Tushar Download
Heat diseases prediction using machine learningComputer EngineeringProf. Meghashree M B Download
GRIDSHIELD AIComputer EngineeringDr. Archana B Download
Diabetic Retinopathy Detection with AI InsightsComputer EngineeringJay Mahesh Gurav Download
Personalized Fitness Segmentation with Actionable InsightsMachine LearningAnju Tiwari Download
Sentiment-Based Machine Learning Approach for Mapping Citizen ProblemsComputer science and EngineeringDr. Madhu B K Download
12