User-centric Privacy-preserving Framework for Vehicle Data Sharing and Monetization

Abstract

Modern connected vehicles continuously generate large volumes of data, enabling new data-sharing and monetization services while simultaneously raising serious concerns about privacy, access control, and scalability. Recent blockchain-based approaches improve transparency and user control, but often rely on coarse-grained access policies, costly symmetric key management, and limited scalability, making them unsuitable for realistic, high-volume vehicle data markets. Moreover, purely owner-centric access control may conflict with legitimate requirements from authorized third parties, such as manufacturers or regulatory authorities. In this paper, we propose a scalable, privacy-preserving framework for vehicle data sharing and monetization that combines blockchain-based smart contracts with attribute-based and identity-based encryption. The framework enables fine-grained, policy-driven access control while preserving data confidentiality and supporting authorized exceptional access when required. We evaluate the proposed design through security analysis and experimental measurements1 , demonstrating that it achieves strong privacy guarantees with modest overhead and scales to realistic workloads