Utilizing NFT Technology and Generative AI for Deep Fake Detection and Media Authentication

Abstract

The proliferation of deep fake technology has raised significant concerns regarding the authenticity and integrity of digital media. This paper proposes a novel approach that leverages Non-Fungible Token (NFT) technology within blockchain combined with generative AI to detect and authenticate digital media, addressing the growing issue of deep fakes. Using NFTs, unique digital certificates of authenticity are created for each media piece and securely stored on a blockchain to ensure immutability and traceability. Generative AI models, specifically designed for anomaly detection, are employed to analyze media files and identify potential manipulations by comparing them against the original authenticated versions. This dual-layered system not only enhances the reliability of media verification but also provides a robust framework for ensuring the security and provenance of digital content. The implementation of this system demonstrates a significant improvement in detecting deep fakes, offering a practical solution to mitigate the risks associated with synthetic media. Intermediate results highlight the potential of integrating blockchain and AI technologies to establish a more secure and trustworthy digital ecosystem.