A Novel Method to Prevent Sybil Attacks in VANETs and Share Knowledge of Malicious Nodes
Open Access
Author:
Smith, Andrew
Graduate Program:
Computer Science
Degree:
Master of Science
Document Type:
Master Thesis
Date of Defense:
October 18, 2024
Committee Members:
Jeremy Joseph Blum, Thesis Advisor/Co-Advisor Bimal Ghimire, Committee Member Sukmoon Chang, Professor in Charge/Director of Graduate Studies Sayed Mohsin Reza, Committee Member Md Faisal Kabir, Committee Member
Keywords:
VANET Sybil attack AODV Routing Ad Hoc Network
Abstract:
Vehicular ad-hoc networks (VANETs) have become increasingly important as cars are being equipped with higher levels of self-driving technology. Inter-vehicle communications can be utilized for self-driving or alerting drivers to road conditions. This can help to prevent traffic accidents or manage routing changes based on information provided by other vehicles. As VANETs and inter vehicle communication become more common, the need for stable and secure networks is needed. Routing algorithms for ad-hoc networks remain vulnerable to many attack types. This thesis outlines a new addition to the popular routing protocol Ad-hoc On-Demand Distance Vector (AODV) routing. AODV is extended to authenticate nodes using a combination of public key cryptography and location verification. This authentication is used to share information about identified malicious nodes in the network. A simulation is then modeled in NS-3 to validate the effectiveness of the reporting system.
