Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directions

arXiv:2308.04522v3 Announce Type: replace-cross
Abstract: Steganography and steganalysis are two interrelated aspects of the field of information security. Steganography seeks to conceal communications, whereas steganalysis is aimed to either find them or even, if possible, recover the data they contain. Steganography and steganalysis have attracted a great deal of interest, particularly from law enforcement. Steganography is often used by cybercriminals and even terrorists to avoid being captured while in possession of incriminating evidence, even encrypted, since cryptography is prohibited or …

abstract arxiv challenges communications cs.ai cs.cr cs.lg cs.mm cs.sd data deep learning diverse eess.as eess.iv future information information security review security steganography taxonomy them type types