A Trust-Based Privacy-Preserving Data Retrieval Scheme in Edge-Cloud Computing

作者：Qi-An Huang, Yain-Whar Si · 发表于：IEEE Transactions on Dependable and Secure Computing · 年份：2026 · DOI：10.1109/tdsc.2026.3662007 · 被引用次数：1 · 研究领域：Computer Science

The proliferation of IoT devices has significantly enhanced the convenience of modern life, yet it has also raised critical concerns regarding data security and privacy. As these devices continuously collect and transmit vast amounts of sensitive information in edge-cloud environments, ensuring secure and private data retrieval has become an urgent challenge. In this paper, we propose a trust-based approach to ensure privacy-preserving IoT data retrieval in edge–cloud environments. We design a trust-based access control scheme that quantifies device trustworthiness through a combination of direct interactions, recommender feedback, and social relationship similarity, enabling the accurate matching of data users with authorized datasets. Building on this model, we introduce an efficient private information retrieval scheme with integrated trust-based access control, termed TrustPIR. The proposed schemes enable secure data sharing and retrieval in edge-cloud ecosystems while safeguarding both data privacy and user trust. Extensive simulations conducted using real-world datasets the effectiveness and superiority of our proposed approach.