SCHOOL OF COMPUTER SCIENCE
The School of Computer Science is pleased to present…
MSc Thesis Defense by: Smarth Kukreja
Vehicular Ad hoc Network (VANET) is an evolving subset of MANET. It is deployed on the roads, where vehicles act as mobile nodes and communicate with each other as integral components of an Intelligent Transportation System (ITS). Extremely dynamic connections, sensitive data sharing, and time-sensitivity of messages make VANET communications particularly vulnerable to security attacks. An important class of messages shared between the vehicles is the basic safety message (BSM). These messages are broadcasted by each vehicle in the network to report its status to the other vehicles and Road Side Unit (RSU). One common attack is to insert false position information to hamper the roadside safety, leading to road accidents and congestion. Identifying malicious nodes involved in such attacks is crucial to ensure safety in the network. The proposed research presents a neural network-based approach for detecting position falsification attacks in VANET.