A Blockchain Solution for Decentralized Content Verification and its Application to Deepfake Detection and Fintech Credit Scoring
Luigi Coppolino, Giovanni Maria Cristiano, Salvatore D’Antonio, Jonah Giglio, Giovanni Mazzeo, Luigi Romano · Blockchain Research and Applications · 2025
Ensuring the reliability and accuracy of information is a critical challenge in sectors like finance, media, and health. The reliance on centralized verification systems introduces risks of bias, manipulation, and limited transparency. To address these issues, we propose VeriNet , a decentralized framework for third-party content verification leveraging blockchain technology and the Ethereum Attestation Service. VeriNet integrates on-chain and off-chain attestations to ensure privacy, transparency, and accountability, supported by a Decentralized Data Warehouse and cryptographic Proof-of-SQL mechanisms. The framework includes Contributors , who submit content, and Verifiers , who assess its authenticity. We carried out two Proof-of-Concept implementations, namely in deepfake detection and fintech credit scoring, to demonstrate the efficiency of VeriNet and its adaptability to diverse domains. Moreover, we conducted an experimental evaluation focusing on various parameters, such as costs and execution time, to demonstrate framework feasibility, scalability, and potential to establish a trusted ecosystem for collaborative verification.