A Hybrid Blockchain Privacy Evaluation and Recommendation Method for Web3 Data Services

Abstract

The swift progression of Web3 and the proliferation of Decentralized Applications (DApps) have ushered in an era where data services are seamlessly integrated with blockchain technology. Despite this integration, the highly esteemed Quality of Service (QoS) service recommendation methodologies from the Web2.0 era face challenges in achieving seamless compatibility due to their centralized nature. In this paper, we introduce an innovative hybrid approach that bridges the on-chain and off-chain realms for service evaluation and recommendation, which we term as QoBS. This method leverages the power of ring signatures to safeguard identity data, thereby ensuring an efficient and secure framework for decentralized blockchain governance in the Web3 ecosystem. Through rigorous experimentation within the Ethereum environment, we validate the practical viability of our proposed solution, showcasing its robustness and effectiveness in the evolving landscape of decentralized services.