A Multi-Layer Trust Framework for Self-Sovereign Identity on Blockchain

The growing sophistication of deepfake technology poses a significant challenge to remote identity verification systems, particularly in electronic Know Your Customer (eKYC) applications. Many existing deepfake detection datasets lack the necessary features to assess eKYC systems effectively, as they do not include essential factors like head movements and facial verification protocols. To address this gap, we introduce eKYC-DF, a large-scale dataset comprising over 228,000 high-quality synthetic and real videos, representing diverse demographics. This dataset is designed to facilitate the development and evaluation of eKYC systems by incorporating various head poses, facial expressions, and verification benchmarks. Additionally, our dataset provides protocols for both deepfake detection and facial recognition assessments, making it a valuable resource for enhancing identity-proofing security. The eKYC-DF dataset, along with evaluation tools and pre-trained models, is publicly available to researchers for further study and development