Candidate: Noon Hussein
Title: Secure Harmonized Speed Under Byzantine Attacks for Autonomous Vehicle Platoons
Supervisor: Otman Basir
Abstract:
Byzantine behavior challenges consensus by transmitting incorrect or conflicting information to the other vehicles, which share information about their position, speed, and other relevant data. The shared information is used to determine the optimal configuration of the platoon, including the speed and spacing between the vehicles. As a result, the Byzantine platoon can become disorganized and fail to maintain a safe distance between the vehicles, potentially leading to collisions or other accidents. In this light, this work addresses consensus using V2V communication over Vehicular Ad-hoc Network (VANET) to provide Byzantine Fault Tolerance (BFT). Specifically, the blockchain-based algorithm establishes consensus and detects the presence of Byzantine behavior in the demonstrated platoon management scheme. Then, the faulty vehicles are separated from the platoon, whereas the rest successfully harmonize their speed after reaching consensus and leaving behind the malicious nodes.