Investigation of Blockchain for Security and Transparency in Intelligent Transportation Systems

Abstract

Incorporating blockchain technology into vehicle classification systems shows potential progress in data security, transparency, and decentralization. This work examines how blockchain technology can improve vehicle classification procedures, emphasizing the advantages and hurdles of various consensus mechanisms. Conventional methods of categorizing vehicles typically depend on centralized databases susceptible to data tampering and breaches. Using blockchain ensures data integrity by utilizing decentralized and immutable ledgers. We assess different consensus algorithms such as Proof of Stake (PoS), Delegated Proof of Stake (DPoS), Practical Byzantine Fault Tolerance (PBFT), Federated Byzantine Agreement (FBA), and DAG (Directed Acyclic Graph) to determine their appropriateness for vehicle categorization. Our aim is to determine the most effective and secure method for incorporating blockchain technology into vehicle classification systems by analyzing these consensus mechanisms.