Multi-Media Authentication Through Application of Generative Adversarial Networks and Blockchain Technology

The surge in deepfake technology poses significant threats to the integrity of digital media. This paper combines generative AI with Blockchain - based authentication for a novel approach to deepfake detection and media verification. By pairing a Generative Adversarial Model (GAN) for synthetic data verification with Blockchain's immutability a secure and robust framework for authentication is determined. The first step of this process is to characterize the method used to forge unauthentic media and leverage it with a discriminative model for advanced pattern detections. The second step would involve creating unique digital fingerprints for media on the blockchain developing characterizations of authentic as well as unauthentic media. Preliminary results show that this dual-layered system effectively enhances digital content's reliability and security.