Addressing blockchain privacy and efficiency challenges in mobile environments: an optimization strategy for lightweight clients and full nodes

Abstract

In this paper, we propose an optimization strategy for privacy and efficiency challenges of blockchains in mobile environments. We propose a system model and define the corresponding threat model for the transaction query privacy problem of lightweight clients. Based on this, we design a transaction query scheme that effectively protects the privacy of lightweight clients. This scheme successfully achieves the security, privacy and completeness of transaction queries through an optimized blockchain restructuring process and privacy protection measures. Simulation experimental results show that our scheme significantly improves the privacy protection of transaction queries for lightweight clients while maintaining efficient query performance. In addition, we propose an optimization scheme for the lightweight full-node block verification efficiency problem. This scheme optimizes the verification process and introduces parallel computation, thus significantly improving the block verification efficiency. The experimental results show that our scheme achieves about 50% improvement in verification efficiency, both in terms of network size and transaction correlation. The research results in this paper not only provide a new perspective on privacy protection and efficiency improvement of blockchain technology, but also open up new applications in the mobile environment possibilities.