Assessing Cooperative Trust-Based Authentication within Micro Vehicular Clouds

Vehicular Cloud (VC) Computing is described as a network of vehicles capable of sharing information and various resources, including computational power, storage, and bandwidth, among drivers. Vehicles in a connected network can not only share their own data and processing power, but also distribute them as customized services for others to use on-demand. The Vehicular Cloud Computing concept, while promising, raises significant security and privacy concerns that must be addressed before widespread adoption. Safeguarding the confidentiality, integrity, and availability of data and services in this framework, along with ensuring the privacy of users and their sensitive information, poses significant challenges that must be addressed. Implementing a trust-based authentication strategy stands out as a viable solution for addressing security and privacy issues in vehicular clouds. This paper evaluates the performance of a trust-based authentication model for vehicular cloud computing. Notably, the model operates autonomously, eliminating the need for a central server to monitor vehicle trust scores. Another significant feature of this model lies in the collaboration among different node types, a novel approach that enhances the model's performance. In our work, we use comprehensive set of simulations to evaluate the performances of the model.