Security and Privacy in Vehicular Ad-hoc Network

Vehicular Ad hoc Networks (VANETs) allow vehicles to wirelessly communicate with neighboring vehicles as well as with roadside units (RSUs) for exchanging traffic-related information. However, an attacker can inject inaccurate information (such as false Basic Safety Messages) within the network that can cause various security and privacy threats, and disrupt the normal functioning of any traffic monitoring system. Additionally, the attacker can also collude with other malicious vehicles present in the region of interest (ROI) to report inaccurate traffic events, thereby posing a significant threat to public safety. Thus, with the increase in communication among the vehicles, there is a growing need to develop a framework that can detect the false information injected and identify the malicious vehicles within the network. We explore solutions to these problems using cyber-security, blockchain and machine learning models.

Researcher

Ayan Roy