Latest research in Source of Evidence Identification in Multimedia focuses on developing advanced techniques to trace the origin of digital content, such as images and videos, to specific devices or sources. Studies highlight methods like Photo Response Non-Uniformity (PRNU), which leverages sensor noise patterns to create unique device fingerprints for source attribution, and blind forensic techniques that use feature extraction and machine learning classification to enhance identification accuracy. These approaches have been applied to a variety of devices, including smartphones and webcams, enabling investigators to reliably link multimedia evidence to its source. Overall, these advancements aim to provide scalable, accurate, and legally sound methodologies for capturing, analyzing, and preserving multimedia evidence in complex digital investigations.