Privacy-Preserving Data Sharing Frameworks for Autonomous Vehicles - An IoT Perspective: Proposes privacy-preserving data sharing frameworks for AVs from an IoT perspective to ensure data security

Abstract

Autonomous Vehicles (AVs) are increasingly reliant on data sharing for improved functionality and safety. However, ensuring the privacy and security of shared data remains a significant challenge. This paper proposes a privacy-preserving data sharing framework for AVs from an Internet of Things (IoT) perspective. The framework leverages IoT technologies to enable secure and private data sharing among AVs while addressing key privacy concerns. Through encryption, access control, and data anonymization techniques, the framework aims to protect sensitive information while enabling effective data sharing. This research contributes to the development of secure and privacy-aware systems for the next generation of AVs, ensuring that data sharing is both efficient and secure.