Source Identification

Source identification, the task of determining the origin of data, is crucial across diverse fields, from data provenance and media forensics to healthcare and environmental monitoring. Current research focuses on developing robust algorithms that can withstand data modifications and handle diverse data types, employing techniques like error-controlled watermarking, transfer learning across multiple data sources, and deep learning architectures such as diffusion models and object detection networks. These advancements improve accuracy and efficiency in source identification, impacting areas ranging from combating misinformation to enhancing medical image analysis and improving the reliability of sensor data.