Abstract

With the rapid growth of the Internet of Vehicles (IoV), there is an increasing need for effective and secure data sharing among vehicles, infrastructure, and other entities within the IoV ecosystem. However, traditional data-sharing mechanisms face numerous challenges, such as heterogeneity of data formats, privacy concerns, and scalability issues. In this study, we propose adaptive solutions for data sharing in IoVs, which aim to address these challenges and facilitate efficient and secure data exchange. Our approach leverages adaptive techniques to dynamically adjust data-sharing mechanisms based on the context and requirements of the IoV environment. We present a comprehensive overview of the proposed solutions, including data format transformation, privacy-preserving techniques, and scalable datasharing protocols. We also discuss the potential benefits and limitations of our approach and provide insights into future research directions in the field of data sharing in IoVs