An Integrated Framework for Video-Based Deepfake Forensic Analysis

Deepfakes represent one of the most significant digital advancements in recent years, utilizing artificial intelligence algorithms to replicate human voices, facial expressions, and behaviors with remarkable realism and precision. These technologies are the product of significant progress in machine learning techniques, particularly deep learning. Deepfakes have since emerged as a substantial risk originally conceived for entertainment purposes. Their capacity for accurate behavioral imitation poses dangers, as they can be exploited to deceive unsuspecting individuals, prompting serious ethical and security concerns. This research aims to investigate strategies to mitigate the potential detrimental effects of deepfakes, given that current methodologies appear insufficient to uphold the integrity of digital communications.