Development of Threats and Vulnerability Assessment Model for Electric Vehicles (EVs) Transportation Internet of Things (T-IoT)

Abstract

The paper describes the proposal of a model for threats and vulnerability assessment for Electric Vehicles (EVs) in the Transportation Internet of Things (T-IoT) model. EV systems are becoming more and more reliant on IoT devices and systems that encounter many security challenges. This reliance on many interconnected devices, sensors, and communication networks creates vulnerabilities where cyberattacks, such as hacking and data breaches, or manipulations can stem as entry points to EVs. In this study, the researcher addresses the problems outlined above by discovering orders of critical threats, evaluating the remaining approaches working to produce threat modeling and vulnerability assessments, and adapting those approaches to the requirements of EV systems. Ultimately the study details a model to provide systematic attack scenario analysis and models for vulnerability assessment to provide a solid framework of identification and risk reduction to EV security and reliability in the future of transportation networks. The model developed in this study demonstrates improved capability in predicting, identifying, and mitigating cyber threats targeting electric vehicle (EV) systems. The results provide empirical evidence of the model's capacity to strengthen protection mechanisms against evolving cyber risks, offering a tangible solution to current security challenges in EV infrastructure. This research contributes to ongoing efforts to improve cybersecurity in transportation technologies, presenting a functional approach that can be implemented in real-world scenarios. Finally, this will improve the measures of the future of security and safety for the integration of EVs into the T-IoT.