Large Feature Mining and Deep Learning in Multimedia Forensics

Abstract

As one of the most interesting areas in cyber forensics, multimedia forensics faces many challenges as users are generating a humongous amount of data with different operations. Forgery detection and steganography detection are two hotspots in multimedia forensics. To solve some highly challenging problems in multimedia forensics, especially in image forensics, we will introduce in this tutorial large feature mining-based approaches with ensemble learning in image forgery detection, including seam-carving forgery and inpainting forgery in JPEG images with the subsequent anti-forensics' operations. We will also introduce deep learning and apply the well-known deep learning models that were transferred and used for image forgery detection and image steganalysis, which considerably improve the detection accuracy.