By Kushal Deenadayalan Volunteer at AFRS

Digital media, i.e., audio, video, and image, are subjected to forensic techniques for source identification, authentication, and tampering. Some methods include identifying forgery using deep learning methods, analyzing metadata, analyzing noise patterns, and detecting artifact compression. Significant fields comprise video forensics such as frame duplication and deepfake video detection; audio forensics such as editing and background noise pattern identification; and image forensics such as splicing or cloning detections. Other application programs include copyright protection, cybercrime detection, criminal investigations, and evidence verification for use in legal proceedings. With the rapid development of editing tools, multimedia forensics became a necessity in the fight against fake content and in the verification of digital evidence.