Enhancing Byzantine-Fault-Tolerant Consensus in Permissioned Blockchain-Empowered Vehicle-to-Everything (V2X) Network Via Multitask Learning: A Review

Abstract

This research work discusses the improvement of a specific consensus mechanismcalledByzantine Fault-Tolerant (BFT) within a permissioned blockchain-based network designedforVehicle-to-Everything (V2X) communication. The main objective is to make the consensus protocols of this network more robust in the face of attacks from malicious participants. Amethod to achieve this improvement by using a robust adversarial training technique knownastheFast Gradient Sign Method is suggested. This technique aims to counteract the negative effectsofmalicious nodes within the V2X network. The research work also delves into the recent advancements in the fields  of distributed systems, blockchain technology, and consensus mechanisms. This exploration is conducted to improve and strengthen the  security and reliabilityof communication networks used in V2X scenarios. The significance of ensuring the resilience and ability to  withstand adversarial actions in environments involving vehicles, where the stabilityand resistance to malicious behavior are of utmost  importance is emphasized. Our work has openfuture direction for interested researchers in this area.