Blockchain and Machine Learning Integrated Secure Driver Behavior Centric Electric Vehicle Insurance Model

Traditional insurance policy models involve cumbersome multiparty verification and processing, leading to a prolonged and time-consuming procedure resulting in claim leakage. The existing insurance and blockchain-based systems have no module specifically for electric vehicles to cover physical damage. This becomes particularly significant in electric vehicles (EVs), where insurance is essential due to the high cost of vehicle parts and the vehicles themselves. Electric vehicles with various sensors and IoT devices are susceptible to physical damage and attacks. To address these challenges and provide robust financial support to policyholders, an enhanced blockchain-based electric vehicle insurance policy (BE-VIP) is proposed to cover vehicle damages. BE-VIP leverages sensory and telemetry data from vehicle sensors, IoT devices, and drivers' behavior for a more comprehensive analysis. However, the insecure nature of the public network in the internet of electric vehicles (IoEV) exposes it to various security threats and attacks. Recognizing this, BE-VIP emphasizes implementing a lightweight privacy-preserving and efficient authentication protocol to enhance network security. A secure driver-driving score (DDS) is proposed to reward and punish the vehicle based on driving behavioral data and easy insurance policy transfer from the previous owner to the current owner. To prevent fraudulent accidental claims, a YOLOv8 model-based damage detection model is combined with IPFS to create permanent evidence of an accident. The feasibility of the BE-VIP model is rigorously evaluated through a comprehensive analysis, considering factors such as computational complexity and gas consumption required for execution over the Ethereum blockchain network.