International Journal of Science, Engineering and TechnologyAuthors: Payal Panda, Sai Aditya, Krishna Sravya Chirla
Abstract: With the rise of Generative AI models that are achieving near-pixel perfection, the traditional digital forensic methods, which rely on noise analysis and metadata, are becom- ing increasingly inefficient. Cyber-criminals and scammers are now using Generative AI models to generate synthetic media, which can be used for identity theft, spreading false information, and financial fraud. This advancement in the digital world requires us to shift from digital-only detection to anatomical or biological validation. This research introduces a safety frame- work that bridges the gap between clinical forensics and digital investigations. Real human faces exhibit muscle movements and heart pulses, unlike deepfake faces, which enable us to use the human body as a biological watermark. We use remote Photoplethysmography (rPPG) to observe and extract the pulse signals from the forehead and the cheeks, while a clinical audit led by anatomical experts evaluates musculoskeletal synergy to identify the biological impossibilities present in the synthetic media. This safety framework proposes a physiology-informed forensic framework for legal and investigative usage, providing a chance to combat cyber-criminals and scammers.
DOI: https://doi.org/10.5281/zenodo.19184288
