Effectiveness of Trust-Based Authentication in Vehicular Cloud Computing

Vehicular Cloud Computing (VCC) is a collective of vehicles capable of sharing information and various resources, such as computation power, storage, and bandwidth among drivers. The resources available in the vehicular cloud can also be shared over the network as on-demand services, allowing users to access and utilize them as needed. Security and privacy stand out as key challenges in VCC. Maintaining the confidentiality, integrity, and availability of data and services within this frame-work while safeguarding the privacy of users and their sensitive information poses significant hurdles to be addressed. One of the solutions to address security and privacy in VCC is using trust based authentication approach. Trust-based authentication algorithm relies on past transactions and feedback from vehicles to calculate the trust degree. By analyzing historical interactions and evaluating the reliability and credibility of each vehicle based on their past behavior, the algorithm can determine the level of trustworthiness of a particular vehicle. In this model, certain responsible overseers are present within each cluster, and their role involves monitoring the behavior of individual vehicles. In our work we use comprehensive set of simulations to evaluate the effectiveness of trust based authentication in Vehicular Cloud Computing. We concentrate on the impact of the overseers in different clusters. By studying their role and behavior, we can gain insights into the effectiveness of cluster management and optimize the system's efficiency.