College
College of Sciences
Department
Computer Science
Graduate Level
Doctoral
Graduate Program/Concentration
Computer Science
Publication Date
2023
DOI
10.25883/ndhc-ez49
Abstract
VANET, which stands for "Vehicular Ad Hoc Network," is a wireless network that allows vehicles to communicate with each other and with infrastructure, such as Roadside Units (RSUs), with the aim of enhancing road safety and improving the overall driving experience through real-time exchange of information and data. VANET has various applications, including traffic management, road safety alerts, and navigation. However, the security of VANET can be compromised if a malicious user alters the content of messages transmitted, which can harm both individual vehicles and the overall trust in VANET technology. Ensuring the correctness of messages is crucial for the success of VANET, as fake messages pose a threat to traffic safety, human lives, and the credibility of VANET. This poster presents a novel framework for efficiently identifying vehicles that spread fake messages in VANET. The framework divides messages into two categories, urgent and non-urgent, and handles them using a decentralized priority queue consisting of trusted RSUs. The RSUs register dynamic security keys of the vehicles and broadcast the valid ones in their range for quick message exchange. The simulation results show that the framework is scalable and can efficiently identify vehicles that spread fake messages while providing secure communication and guaranteeing the QoS requirements of safety-related VANET applications.
Keywords
VANET, Fake messages, Security, Privacy, Decentralized systems
Disciplines
Artificial Intelligence and Robotics | Information Security | OS and Networks
Files
Download Full Text (622 KB)
Recommended Citation
Zehra, Susan; Rizvi, Syed R.; and Olariu, Steven, "Unmasking Deception in VANETs: A Decentralized Approach to Verifying Truth in Motion" (2023). College of Sciences Posters. 16.
https://digitalcommons.odu.edu/gradposters2023_sciences/16
Included in
Artificial Intelligence and Robotics Commons, Information Security Commons, OS and Networks Commons