Enabling Trustable Financing: A Verifiable Privacy-Preserving Cross-Chain Protocol

Generative AI-enabled wireless communications enhance efficiency and offer new tools for supply chain finance (SCF) innovation. SCF optimizes capital efficiency and reduces risk, but information asymmetry hinders risk assessment. Blockchain technology addresses these challenges by solving information asymmetry and regulatory issues. However, issues of privacy protection, reliability, and traceability remain. To address this, we design a verifiable privacy protection cross-chain protocol based on threshold homomorphic encryption. This protocol ensures confidential sharing and verifiable access to enterprise information through homomorphic encryption and distributed private key technology, enhancing data security and controllability in SCF. Our simulation experiments demonstrate the protocol's feasibility and effectiveness in cross-chain SCF scenarios, supporting the application of blockchain technology in supply chain finance.

I. Introduction

The rapid development of generative artificial intelligence is being applied to many fields such as vehicle network, vision, text and sound range, and mobile phone noise reduction[1]–[3]. Integrating AI with robust wireless systems can improve data transparency and increase funding oppor-tunities. Small-sized and Middle Enterprises (SMEs) often face challenges in capital financing due to information asymmetry [4]. Their small scale and insufficient credit records hinder financial institutions from fully understanding their situation, leading to higher financing costs. However, with the development of generative artificial intelligence, enterprises can utilize the exhaustive reports generated by the AI grand model to conduct participant sentiment change monitoring and warn potential risks in advance[5]. Financial institutions are able to gain a more comprehensive understanding of business conditions, thereby reducing information asymmetry and lowering financing costs.