Detection and Analysis of Wormhole Attacks in the AODV Routing Protocol with IEEE 802.11p for the Internet of Vehicles

The Internet of Vehicles (IoV) is a network of vehicles that consists of vehicles, sensors, and technologies that allow communication between them. Its primary purpose is to enable vehicles to connect and share information via the Internet. The connectivity between all these entities is the most important. So, routing becomes the most crucial thing in IoV to establish connections. AODV is an essential protocol for efficiently connecting vehicles and other environments. In vehicular networks, the wormhole is a routing attack that severely threatens communication and data security. The objective of our research is to compare the performance analysis for metrics like Packet Delivery Ratio (PDR), End-to-End Delay (EED), and Throughput during wormhole attacks with those during normal operations. The study looks at how wormhole attacks affect the Ad hoc On-Demand Distance Vector (AODV) routing protocol. We have used NS 2.35 for simulation and getting results. We have also done statistical testing with one-way Analysis of Variance (ANOVA) to determine the significance of the difference. The study employs the IEEE 802.11p standard and aims to find evidence of the existence of wormhole attacks through statistical testing. The detection of wormhole attacks on IoV performance is explored through simulation results and statistical analysis.